20.5.2 Retinal Images, Angiography, Blood Vessels in the Eye

Chapter Contents (Back)
Retinal Images. Retinal Vessels. Medical, Applications. See also Diabetic Retinopathy, Retinal Analysis Application.

Ibanez, M.V., Simo, A.,
Bayesian detection of the fovea in eye fundus angiographies,
PRL(20), No. 2, February 1999, pp. 229-240. BibRef 9902

Simó, A., de Ves, E.,
Segmentation of Macular Fluorescein Angiographies. A Statistical Approach,
PR(34), No. 4, April 2001, pp. 795-809.
WWW Link. 0101
BibRef

Pedersen, L., Grunkin, M., Ersbøll, B.K., Madsen, K., Larsen, M., Christoffersen, N., Skands, U.,
Quantitative Measurement of Changes in Retinal Vessel Diameter in Ocular Fundus Images,
PRL(21), No. 13-14, December 2000, pp. 1215-1223. 0011
BibRef
Earlier: SCIA99(Biological Applications II). BibRef

Hoover, A.D., Kouznetsova, V., Goldbaum, M.,
Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response,
MedImg(19), No. 3, March 2000, pp. 203-210.
IEEE Top Reference. 0110
BibRef

Hoover, A.D., Goldbaum, M.,
Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels,
MedImg(22), No. 8, August 2003, pp. 951-958.
IEEE Abstract. 0308
BibRef

Bouaoune, Y., Assogba, M.K., Nunes, J.C., Bunel, P.,
Spatio-temporal characterization of vessel segments applied to retinal angiographic images,
PRL(24), No. 1-3, January 2003, pp. 607-615.
Elsevier DOI 0211
BibRef

Lowell, J., Hunter, A., Steel, D., Basu, A., Ryder, R., Kennedy, R.L.,
Measurement of Retinal Vessel Widths from Fundus Images Based on 2-D Modeling,
MedImg(23), No. 10, October 2004, pp. 1196-1204.
IEEE Abstract. 0410
See also Optic Nerve Head Segmentation. BibRef

Staal, J., Abramoff, M.D., Niemeijer, M., Viergever, M.A., van Ginneken, B.,
Ridge-based vessel segmentation in color images of the retina,
MedImg(23), No. 4, April 2004, pp. 501-509.
IEEE Abstract. 0406
BibRef

Niemeijer, M., van Ginneken, B., Cree, M.J., Mizutani, A., Quellec, G., Sanchez, C.I., Zhang, B., Hornero, R., Lamard, M., Muramatsu, C., Wu, X., Cazuguel, G., You, J., Mayo, A., Li, Q., Hatanaka, Y., Cochener, B., Roux, C., Karray, F., Garcia, M., Fujita, H., Abramoff, M.D.,
Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs,
MedImg(29), No. 1, January 2010, pp. 185-195.
IEEE DOI 1001
BibRef

Grisan, E., Foracchia, M., Ruggeri, A.,
A Novel Method for the Automatic Grading of Retinal Vessel Tortuosity,
MedImg(27), No. 3, March 2008, pp. 310-319.
IEEE DOI 0803
BibRef

Stosic, T., Stosic, B.D.,
Multifractal Analysis of Human Retinal Vessels,
MedImg(25), No. 8, August 2006, pp. 1101-1107.
IEEE DOI 0608
BibRef

Mendonça, A.M.[Ana Maria], Campilho, A.J.[Aurélio J.],
Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction,
MedImg(25), No. 9, September 2006, pp. 1200-1213.
IEEE DOI 0609
BibRef

Mendonca, A.M., Campilho, A.J., Nunes, J.M.R.,
Automatic segmentation of microaneurysms in retinal angiograms of diabetic patients,
CIAP99(728-733).
IEEE DOI 9909
BibRef
Earlier:
A new similarity criterion for retinal image registration,
ICIP94(III: 696-700).
IEEE DOI 9411
BibRef

Soares, J.V.B., Leandro, J.J.G., Cesar, Jr., R.M., Jelinek, H.F., Cree, M.J.,
Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification,
MedImg(25), No. 9, September 2006, pp. 1214-1222.
IEEE DOI 0609
BibRef

Sofka, M., Stewart, C.V.[Charles V.],
Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures,
MedImg(25), No. 12, December 2006, pp. 1531-1546.
IEEE DOI 0701
BibRef
And: Erratum: MedImg(26), No. 1, January 2007, pp. 133-133.
IEEE DOI 0701
BibRef

Stewart, C.V.[Charles V.],
Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions,
CVBIA05(31-50).
Springer DOI 0601
BibRef

Wang, L.[Li], Bhalerao, A.H., Wilson, R.,
Analysis of Retinal Vasculature Using a Multiresolution Hermite Model,
MedImg(26), No. 2, February 2007, pp. 137-152.
IEEE DOI 0702
BibRef
Earlier:
Robust modelling of local image structures and its application to medical imagery,
ICPR04(III: 534-537).
IEEE DOI 0409
BibRef

Thonnes, E., Bhalerao, A.H., Kendall, W., Wilson, R.,
A bayesian approach to inferring vascular tree structure from 2d imagery,
ICIP02(II: 937-940).
IEEE DOI 0210
BibRef

Ricci, E., Perfetti, R.,
Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification,
MedImg(26), No. 10, October 2007, pp. 1357-1365.
IEEE DOI 0711
BibRef

Youssif, A.A.H.A.R., Ghalwash, A.Z., Ghoneim, A.A.S.A.R.,
Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter,
MedImg(27), No. 1, January 2008, pp. 11-18.
IEEE DOI 0712
BibRef

Adjeroh, D.A.[Donald A.], Kandaswamy, U.[Umasankar], Odom, J.V.[J. Vernon],
Texton-based segmentation of retinal vessels,
JOSA-A(24), No. 5, May 2007, pp. 1384-1393.
WWW Link. 0801
BibRef

Miura, M.[Masahiro], Elsner, A.E.[Ann E.], Cheney, M.C.[Michael C.], Usui, M.[Masahiko], Iwasaki, T.[Takuya],
Imaging polarimetry and retinal blood vessel quantification at the epiretinal membrane,
JOSA-A(24), No. 5, May 2007, pp. 1431-1437.
WWW Link. 0801
BibRef

Quellec, G., Lamard, M., Josselin, P.M., Cazuguel, G., Cochener, B., Roux, C.,
Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs,
MedImg(27), No. 9, September 2008, pp. 1230-1241.
IEEE DOI 0809
BibRef

Rothaus, K.[Kai], Jiang, X.Y.[Xiao-Yi], Rhiem, P.[Paul],
Separation of the retinal vascular graph in arteries and veins based upon structural knowledge,
IVC(27), No. 7, 4 June 2009, pp. 864-875.
Elsevier DOI 0904
BibRef
Earlier: A1, A3, A2:
Separation of the Retinal Vascular Graph in Arteries and Veins,
GbRPR07(251-262).
Springer DOI 0706
Retinal vascular graph; Artery; Vein; Constraint satisfaction problem; Constraint propagation See also Structural Performance Evaluation of Curvilinear Structure Detection Algorithms with Application to Retinal Vessel Segmentation. BibRef

Jiang, X.Y.[Xiao-Yi], Lambers, M.[Martin], Bunke, H.[Horst],
Structural Performance Evaluation of Curvilinear Structure Detection Algorithms with Application to Retinal Vessel Segmentation,
PRL(33), No. 15, 1 November 2012, pp. 2048-2056.
Elsevier DOI 1210
BibRef
Earlier:
Structure-Based Evaluation Methodology for Curvilinear Structure Detection Algorithms,
GbRPR11(305-314).
Springer DOI 1105
Medical images. Not pixel level ground truth, but structure based. See also Separation of the retinal vascular graph in arteries and veins based upon structural knowledge. Performance evaluation; Curvilinear structure; Vessel network; Airway tree; Graph matching BibRef

Jiang, X.Y.[Xiao-Yi], Mojon, D.,
Supervised evaluation methodology for curvilinear structure detection algorithms,
ICPR02(I: 103-106).
IEEE DOI 0211
BibRef

Al-Diri, B., Hunter, A., Steel, D.,
An Active Contour Model for Segmenting and Measuring Retinal Vessels,
MedImg(28), No. 9, September 2009, pp. 1488-1497.
IEEE DOI 0909
BibRef

Ng, J., Clay, S.T., Barman, S.A., Fielder, A.R., Moseley, M.J., Parker, K.H., Paterson, C.,
Maximum likelihood estimation of vessel parameters from scale space analysis,
IVC(28), No. 1, Januray 2010, pp. 55-63.
Elsevier DOI 1001
Scale space; Maximum likelihood; Retinal blood vessels; Automatic segmentation BibRef

Habib, M.M., Welikala, R.A., Hoppe, A., Owen, C.G., Rudnicka, A.R., Barman, S.A.,
Microaneurysm detection in retinal images using an ensemble classifier,
IPTA16(1-6)
IEEE DOI 1703
biomedical optical imaging BibRef

Jlassi, H.[Hejer], Hamrouni, K.[Kamel],
Detection of Blood Vessels in Retinal Images,
IJIG(10), No. 1, January 2010, pp. 57-72.
DOI Link 1003
BibRef

Lam, B.S.Y., Gao, Y., Liew, A.W.C.,
General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling,
MedImg(29), No. 7, July 2010, pp. 1369-1381.
IEEE DOI 1007
BibRef

Marin, D., Aquino, A., Gegundez-Arias, M.E., Bravo, J.M.,
A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features,
MedImg(30), No. 1, January 2011, pp. 146-158.
IEEE DOI 1101
BibRef

Gegundez-Arias, M.E., Aquino, A., Bravo, J.M., Marin, D.,
A Function for Quality Evaluation of Retinal Vessel Segmentations,
MedImg(31), No. 2, February 2012, pp. 231-239.
IEEE DOI 1202
BibRef

Azemin, M.Z.C., Kumar, D.K., Wong, T.Y., Kawasaki, R., Mitchell, P., Wang, J.J.,
Robust Methodology for Fractal Analysis of the Retinal Vasculature,
MedImg(30), No. 2, February 2011, pp. 243-250.
IEEE DOI 1102
BibRef

Goatman, K.A., Fleming, A.D., Philip, S., Williams, G.J., Olson, J.A., Sharp, P.F.,
Detection of New Vessels on the Optic Disc Using Retinal Photographs,
MedImg(30), No. 4, April 2011, pp. 972-979.
IEEE DOI 1104
BibRef

You, X.[Xinge], Peng, Q.[Qinmu], Yuan, Y.[Yuan], Cheung, Y.M.[Yiu-Ming], Lei, J.J.[Jia-Jia],
Segmentation of retinal blood vessels using the radial projection and semi-supervised approach,
PR(44), No. 10-11, October-November 2011, pp. 2314-2324.
Elsevier DOI 1101
Radial projection; Retinal images; Steerable complex wavelet BibRef

Peng, Q.[Qinmu], You, X.[Xinge], Zhou, L.[Long], Cheung, Y.M.[Yiu-Ming],
Retinal Blood Vessels Segmentation Using the Radial Projection and Supervised Classification,
ICPR10(1489-1492).
IEEE DOI 1008
BibRef

Xu, X., Niemeijer, M., Song, Q., Sonka, M., Garvin, M.K., Reinhardt, J.M., Abramoff, M.D.,
Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach,
MedImg(30), No. 6, June 2011, pp. 1184-1191.
IEEE DOI 1101
See also Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search. BibRef

Miri, M.S., Abramoff, M.D., Lee, K., Niemeijer, M., Wang, J.K., Kwon, Y.H., Garvin, M.K.,
Multimodal Segmentation of Optic Disc and Cup From SD-OCT and Color Fundus Photographs Using a Machine-Learning Graph-Based Approach,
MedImg(34), No. 9, September 2015, pp. 1854-1866.
IEEE DOI 1509
Biomedical optical imaging BibRef

Yin, Y.[Yi], Adel, M.[Mouloud], Bourennane, S.[Salah],
Retinal vessel segmentation using a probabilistic tracking method,
PR(45), No. 4, April 2012, pp. 1235-1244.
Elsevier DOI 1112
Retinal image; Edge detection; Vessel tracking; Bayesian segmentation BibRef

Yin, Y.[Yi], Adel, M.[Mouloud], Guillaume, M.[Mireille], Bourennane, S.[Salah],
A probabilistic based method for tracking vessels in retinal images,
ICIP10(4081-4084).
IEEE DOI 1009
BibRef

Perez-Rovira, A., Cabido, R., Trucco, E., McKenna, S.J., Hubschman, J.P.,
RERBEE: Robust Efficient Registration via Bifurcations and Elongated Elements Applied to Retinal Fluorescein Angiogram Sequences,
MedImg(31), No. 1, January 2012, pp. 140-150.
IEEE DOI 1201
BibRef

Wang, Y.F.[Yang-Fan], Ji, G.R.[Guang-Rong], Lin, P.[Ping], Trucco, E.[Emanuele],
Retinal vessel segmentation using multiwavelet kernels and multiscale hierarchical decomposition,
PR(46), No. 8, August 2013, pp. 2117-2133.
Elsevier DOI 1304
Vessel detection; Retinal images; Segmentation; Matched filter; Multiwavelet; Multiscale hierarchical decomposition BibRef

Lupascu, C.A.[Carmen Alina], Tegolo, D.[Domenico], Trucco, E.[Emanuele],
A Comparative Study on Feature Selection for Retinal Vessel Segmentation Using FABC,
CAIP09(655-662).
Springer DOI 0909
BibRef

Azegrouz, H., Trucco, E.,
Max-Min Central Vein Detection in Retinal Fundus Images,
ICIP06(1925-1928).
IEEE DOI 0610
BibRef

Esmaeili, M.[Mahdad], Rabbani, H.[Hossein], Mehri Dehnavi, A.[Alireza], Dehghani, A.[Alireza],
Automatic detection of exudates and optic disk in retinal images using curvelet transform,
IET-IPR(6), No. 7, 2012, pp. 1005-1013.
DOI Link 1211
BibRef
Earlier:
A new curvelet transform based method for extraction of red lesions in digital color retinal images,
ICIP10(4093-4096).
IEEE DOI 1009
BibRef
Earlier:
Extraction of retinal blood vessels by curvelet transform,
ICIP09(3353-3356).
IEEE DOI 0911
BibRef

Nguyen, U.T.V.[Uyen T.V.], Bhuiyan, A.[Alauddin], Park, L.A.F.[Laurence A.F.], Ramamohanarao, K.[Kotagiri],
An effective retinal blood vessel segmentation method using multi-scale line detection,
PR(46), No. 3, March 2013, pp. 703-715.
Elsevier DOI 1212
Retinal image; Vessel extraction; Line detector; Central reflex BibRef

Nguyen, U.T.V.[Uyen T. V.], Ramamohanarao, K.[Kotagiri], Park, L.A.F.[Laurence A. F.], Wang, L.[Liang], Bhuiyan, A.[Alauddin],
A Quantitative Measure for Retinal Blood Vessel Segmentation Evaluation,
IJCVSP(1), No. 1, 2012, pp. xx-yy.
WWW Link. 1212
BibRef
Earlier: A1, A5, A2, A3, Only:
An Effective Supervised Framework for Retinal Blood Vessel Segmentation Using Local Standardisation and Bagging,
MLMI11(117-125).
Springer DOI 1109
BibRef

Bhuiyan, A.[Alauddin], Nath, B.[Baikunth], Ramamohanarao, K.[Kotagiri],
Detection and Classification of Bifurcation and Branch Points on Retinal Vascular Network,
DICTA12(1-8).
IEEE DOI 1303
BibRef

Bhuiyan, A.[Alauddin], Kawasaki, R.[Ryo], Lamoureux, E.[Ecosse], Wong, T.Y.[Tien Y.], Ramamohanarao, K.[Kotagiri],
Vessel Segmentation from Color Retinal Images with Varying Contrast and Central Reflex Properties,
DICTA10(184-189).
IEEE DOI 1012
BibRef

Bhuiyan, A.[Alauddin], Nath, B.[Baikunth], Chua, J.J.[Joselito J.], Ramamohanarao, K.[Kotagiri],
Blood Vessel Segmentation from Color Retinal Images using Unsupervised Texture Classification,
ICIP07(V: 521-524).
IEEE DOI 0709
BibRef

Azzopardi, G.[George], Azzopardi, N.[Nicolai],
Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition,
PAMI(35), No. 2, February 2013, pp. 490-503.
IEEE DOI 1301
BibRef
Earlier:
Detection of Retinal Vascular Bifurcations by Rotation- and Scale-Invariant COSFIRE Filters,
ICIAR12(II: 363-371).
Springer DOI 1206
COSFIRE: Combination Of Shifted FIlter REsponses. Selective for a local contour pattern specified by an example. BibRef

Azzopardi, G.[George], Petkov, N.[Nicolai],
Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters,
PRL(34), No. 8, June 2013, pp. 922-933.
Elsevier DOI 1305
BibRef
Earlier:
Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters,
CAIP11(I: 451-459).
Springer DOI 1109
Gabor filters; Keypoint detection; Retinal fundus; Trainable filters; Vascular bifurcation BibRef

Guo, J.P.[Jia-Pan], Shi, C.Y.[Chen-Yu], Azzopardi, G.[George], Petkov, N.[Nicolai],
Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition,
MVA(27), No. 8, November 2016, pp. 1197-1211.
Springer DOI 1612
BibRef

Gecer, B.[Baris], Azzopardi, G.[George], Petkov, N.[Nicolai],
Color-blob-based COSFIRE filters for object recognition,
IVC(57), No. 1, 2017, pp. 165-174.
Elsevier DOI 1702
BibRef
Earlier: A2, A3:
A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits,
CAIP13(II:9-16).
Springer DOI 1311
Object recognition BibRef

Turior, R.[Rashmi], Onkaew, D.[Danu], Uyyanonvara, B.[Bunyarit],
PCA-Based Retinal Vessel Tortuosity Quantification,
IEICE(E96-D), No. 2, February 2013, pp. 329-339.
WWW Link. 1301
BibRef

Lazar, I., Hajdu, A.,
Retinal Microaneurysm Detection Through Local Rotating Cross-Section Profile Analysis,
MedImg(32), No. 2, February 2013, pp. 400-407.
IEEE DOI 1301
BibRef

Tang, L., Niemeijer, M., Reinhardt, J.M., Garvin, M.K., Abramoff, M.D.,
Splat Feature Classification With Application to Retinal Hemorrhage Detection in Fundus Images,
MedImg(32), No. 2, February 2013, pp. 364-375.
IEEE DOI 1301
BibRef

Vázquez, S.G., Cancela, B., Barreira, N., Penedo, M.G., Rodríguez-Blanco, M., Pena Seijo, M., Coll de Tuero, G., Barceló, M.A., Saez, M.,
Improving retinal artery and vein classification by means of a minimal path approach,
MVA(24), No. 5, July 2013, pp. 919-930.
Springer DOI 1306
BibRef

Odstrcilik, J., Kolar, R., Budai, A., Hornegger, J., Jan, J., Gazarek, J., Kubena, T., Cernosek, P., Svoboda, O., Angelopoulou, E.,
Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database,
IET-PR(7), No. 4, 2013, pp. -.
DOI Link 1307
BibRef

Sulai, Y.N.[Yusufu N.], Scoles, D.[Drew], Harvey, Z.[Zachary], Dubra, A.[Alfredo],
Visualization of retinal vascular structure and perfusion with a nonconfocal adaptive optics scanning light ophthalmoscope,
JOSA-A(31), No. 3, March 2014, pp. 569-579.
DOI Link 1403
Ophthalmic optics and devices BibRef

Zhao, Y.Q.[Yu Qian], Wang, X.H.[Xiao Hong], Wang, X.F.[Xiao Fang], Shih, F.Y.[Frank Y.],
Retinal vessels segmentation based on level set and region growing,
PR(47), No. 7, 2014, pp. 2437-2446.
Elsevier DOI 1404
Retinal vessel segmentation BibRef

Bekkers, E.[Erik], Duits, R.[Remco], Berendschot, T.[Tos], ter Haar Romeny, B.M.[Bart M.],
A Multi-Orientation Analysis Approach to Retinal Vessel Tracking,
JMIV(49), No. 3, July 2014, pp. 583-610.
Springer DOI 1407
BibRef

Dizdarolu, B.[Bekir], Ataer-Cansizoglu, E.[Esra], Kalpathy-Cramer, J.[Jayashree], Keck, K.[Katie], Chiang, M.[Michael], Erdogmus, D.[Deniz],
Structure-based level set method for automatic retinal vasculature segmentation,
JIVP(2014), No. 1, 2014, pp. 39.
DOI Link 1408
BibRef

Sigurðsson, E.M.[Eysteinn Már], Valero, S.[Silvia], Benediktsson, J.A.[Jón Atli], Chanussot, J.[Jocelyn], Talbot, H.[Hugues], Stefánsson, E.[Einar],
Automatic retinal vessel extraction based on directional mathematical morphology and fuzzy classification,
PRL(47), No. 1, 2014, pp. 164-171.
Elsevier DOI 1408
Fundus image BibRef

Cheng, E.[Erkang], Du, L.[Liang], Wu, Y.[Yi], Zhu, Y.J.[Ying J.], Megalooikonomou, V.[Vasileios], Ling, H.B.[Hai-Bin],
Discriminative vessel segmentation in retinal images by fusing context-aware hybrid features,
MVA(25), No. 7, October 2014, pp. 1779-1792.
Springer DOI 1410
BibRef

Gavet, Y.[Yann], Fernandes, M.[Mathieu], Debayle, J.[Johan], Pinoli, J.C.[Jean-Charles],
Dissimilarity criteria and their comparison for quantitative evaluation of image segmentation: application to human retina vessels,
MVA(25), No. 8, November 2014, pp. 1953-1966.
Springer DOI 1411
BibRef

Chakraborti, T.[Tapabrata], Jha, D.K.[Dhiraj K.], Chowdhury, A.S.[Ananda S.], Jiang, X.Y.[Xiao-Yi],
A self-adaptive matched filter for retinal blood vessel detection,
MVA(26), No. 1, January 2015, pp. 55-68.
Springer DOI 1503
BibRef

Paripurana, S.[Sukritta], Chiracharit, W.[Werapon], Chamnongthai, K.[Kosin], Saito, H.[Hideo],
Extraction of Blood Vessels in Retinal Images Using Resampling High-Order Background Estimation,
IEICE(E98-D), No. 3, March 2015, pp. 692-703.
WWW Link. 1504
BibRef

Hassanien, A.E.[Aboul Ella], Emary, E., Zawbaa, H.M.[Hossam M.],
Retinal blood vessel localization approach based on bee colony swarm optimization, fuzzy c-means and pattern search,
JVCIR(31), No. 1, 2015, pp. 186-196.
Elsevier DOI 1508
Retinal blood vessel BibRef

Rossant, F.[Florence], Bloch, I.[Isabelle], Ghorbel, I.[Itebeddine], Paques, M.[Michel],
Parallel Double Snakes. Application to the segmentation of retinal layers in 2D-OCT for pathological subjects,
PR(48), No. 12, 2015, pp. 3857-3870.
Elsevier DOI 1509
BibRef
Earlier: A3, A1, A2, A4:
Modeling a parallelism constraint in active contours. Application to the segmentation of eye vessels and retinal layers,
ICIP11(445-448).
IEEE DOI 1201
Parametric active contours BibRef

Lagarrigue-Charbonnier, M., Rossant, F.[Florence], Bloch, I.[Isabelle], Errera, M.H., Paques, M.[Michel],
Segmentation of retinal vessels in adaptive optics images for assessment of vasculitis,
IPTA16(1-6)
IEEE DOI 1703
adaptive optics BibRef

Estrada, R., Allingham, M.J., Mettu, P.S., Cousins, S.W., Tomasi, C., Farsiu, S.,
Retinal Artery-Vein Classification via Topology Estimation,
MedImg(34), No. 12, December 2015, pp. 2518-2534.
IEEE DOI 1601
biomedical optical imaging BibRef

Li, Q., Feng, B., Xie, L., Liang, P., Zhang, H., Wang, T.,
A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images,
MedImg(35), No. 1, January 2016, pp. 109-118.
IEEE DOI 1601
Accuracy BibRef

De, J., Cheng, L., Zhang, X., Lin, F., Li, H., Ong, K.H., Yu, W., Yu, Y., Ahmed, S.,
A Graph-Theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images,
MedImg(35), No. 1, January 2016, pp. 257-272.
IEEE DOI 1601
Biomedical imaging BibRef

Krause, M.[Michael], Alles, R.M.[Ralph Maria], Burgeth, B.[Bernhard], Weickert, J.[Joachim],
Fast retinal vessel analysis,
RealTimeIP(11), No. 2, February 2016, pp. 413-422.
Springer DOI 1602
BibRef

Gottemukkula, V., Saripalle, S., Tankasala, S.P., Derakhshani, R.,
Method for using visible ocular vasculature for mobile biometrics,
IET-Bio(5), No. 1, 2016, pp. 3-12.
DOI Link 1603
Gabor filters BibRef

Lermé, N.[Nicolas], Rossant, F.[Florence], Bloch, I.[Isabelle], Paques, M.[Michel], Koch, E.[Edouard], Benesty, J.[Jonathan],
A fully automatic method for segmenting retinal artery walls in adaptive optics images,
PRL(72), No. 1, 2016, pp. 72-81.
Elsevier DOI 1604
Active contour model BibRef

van Grinsven, M.J.J.P., van Ginneken, B., Hoyng, C.B., Theelen, T., Sánchez, C.I.,
Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images,
MedImg(35), No. 5, May 2016, pp. 1273-1284.
IEEE DOI 1605
Biomedical imaging BibRef

Favali, M.[Marta], Abbasi-Sureshjani, S.[Samaneh], ter Haar Romeny, B.M.[Bart M.], Sarti, A.[Alessandro],
Analysis of Vessel Connectivities in Retinal Images by Cortically Inspired Spectral Clustering,
JMIV(56), No. 1, September 2016, pp. 158-172.
Springer DOI 1605
BibRef

Duits, R.[Remco], Janssen, M.H.J.[Michiel H. J.], Hannink, J., Sanguinetti, G.R.[Gonzalo R.],
Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging,
JMIV(56), No. 3, November 2016, pp. 367-402.
Springer DOI 1609
BibRef

Sanguinetti, G.R.[Gonzalo R.], Bekkers, E.[Erik], Duits, R.[Remco], Janssen, M.H.J.[Michiel H. J.], Mashtakov, A.[Alexey], Mirebeau, J.M.[Jean-Marie],
Sub-Riemannian Fast Marching in SE(2),
CIARP15(366-374).
Springer DOI 1511
Apply to vessel tree extraction. BibRef

Frucci, M.[Maria], Riccio, D.[Daniel], Sanniti di Baja, G.[Gabriella], Serino, L.[Luca],
Severe: Segmenting vessels in retina images,
PRL(82, Part 2), No. 1, 2016, pp. 162-169.
Elsevier DOI 1609
Retina scan images BibRef

Liskowski, P., Krawiec, K.,
Segmenting Retinal Blood Vessels With Deep Neural Networks,
MedImg(35), No. 11, November 2016, pp. 2369-2380.
IEEE DOI 1609
Biomedical imaging BibRef

Strisciuglio, N.[Nicola], Azzopardi, G.[George], Vento, M.[Mario], Petkov, N.[Nicolai],
Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters,
MVA(27), No. 8, November 2016, pp. 1137-1149.
Springer DOI 1612
BibRef
Earlier:
Multiscale Blood Vessel Delineation Using B-COSFIRE Filters,
CAIP15(II:300-312).
Springer DOI 1511
BibRef

Dash, J.[Jyotiprava], Bhoi, N.[Nilamani],
Detection of retinal blood vessels from ophthalmoscope images using morphological approach,
ELCVIA(16), No. 1, 2017, pp. 1-14.
DOI Link 1703
BibRef

Alkassar, S.[Sinan], Woo, W.L.[Wai-Lok], Dlay, S.S.[Satnam S.], Chambers, J.A.[Jonathon A.],
Robust Sclera Recognition System With Novel Sclera Segmentation and Validation Techniques,
SMCS(47), No. 3, March 2017, pp. 474-486.
IEEE DOI 1703
Active contours BibRef

Alkassar, S.[Sinan], Woo, W.L.[Wai-Lok], Dlay, S.S.[Satnam S.], Chambers, J.A.[Jonathon A.],
Sclera recognition: on the quality measure and segmentation of degraded images captured under relaxed imaging conditions,
IET-Bio(6), No. 4, July 2017, pp. 266-275.
DOI Link 1707
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Guo, J., Zhu, W., Shi, F., Xiang, D., Chen, H., Chen, X.,
A Framework for Classification and Segmentation of Branch Retinal Artery Occlusion in SD-OCT,
IP(26), No. 7, July 2017, pp. 3518-3527.
IEEE DOI 1706
Arteries, Image edge detection, Image segmentation, Retina, Shape, Three-dimensional displays, Visualization, AdaBoost classifier, Bayesian posterior probability, Branch retinal artery occlusion, graph search-graph cut, segmentation BibRef

Zhang, J.[Jiong], Chen, Y.[Yuan], Bekkers, E.[Erik], Wang, M.[Meili], Dashtbozorg, B.[Behdad], ter Haar Romeny, B.M.[Bart M.],
Retinal vessel delineation using a brain-inspired wavelet transform and random forest,
PR(69), No. 1, 2017, pp. 107-123.
Elsevier DOI 1706
Random forest BibRef


Lahiri, A., Ayush, K., Biswas, P.K., Mitra, P.,
Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case,
Microscopy17(794-800)
IEEE DOI 1709
Biomedical imaging, Gallium nitride, Generators, Image segmentation, Manuals, Semantics, Training BibRef

Challoob, M.[Mohsin], Gao, Y.S.[Yong-Sheng],
Retinal Vessel Segmentation Using Matched Filter with Joint Relative Entropy,
CAIP17(I: 228-239).
Springer DOI 1708
BibRef

Gou, D.D.[Duo-Duo], Ma, T.[Tong], Wei, Y.[Ying],
A novel retinal vessel extraction method based on dynamic scales allocation,
ICIVC17(145-149)
IEEE DOI 1708
Biomedical imaging, Blood vessels, Image segmentation, Matched filters, Resource management, Retinal vessels, dynamic scales allocation, image sub-blocking, multiscale matched filter, retinal, vessel, extraction BibRef

Gu, B., Chen, B., Luo, L.,
Retinal vessel enhancement via sparse coding and dictionary learning,
MVA17(270-273)
DOI Link 1708
Biomedical imaging, Databases, Dictionaries, Encoding, Image coding, Retinal vessels BibRef

Costa, P.[Pedro], Galdran, A.[Adrian], Meyer, M.I.[Maria Ines], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
Adversarial Synthesis of Retinal Images from Vessel Trees,
ICIAR17(516-523).
Springer DOI 1706
BibRef

Meyer, M.I.[Maria Ines], Costa, P.[Pedro], Galdran, A.[Adrian], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images,
ICIAR17(507-515).
Springer DOI 1706
BibRef

Farah, R.[Rana], Belanger, S.[Samuel], Jafari, R.[Reza], Chevrefils, C.[Claudia], Sylvestre, J.P.[Jean-Philippe], Lesage, F.[Frédéric], Cheriet, F.[Farida],
Retinal Vessel Segmentation from a Hyperspectral Camera Images,
ICIAR17(559-566).
Springer DOI 1706
BibRef

Khomri, B.[Bilal], Christodoulidis, A.[Argyrios], Djerou, L.[Leila], Babahenini, M.C.[Mohamed Chaouki], Cheriet, F.[Farida],
Particle Swarm Optimization Approach for the Segmentation of Retinal Vessels from Fundus Images,
ICIAR17(551-558).
Springer DOI 1706
BibRef

Kushol, R.[Rafsanjany], Kabir, M.H.[M. Hasanul], Salekin, M.S.[M. Sirajus], Rahman, A.B.M.A.[A.B.M. Ashikur],
Contrast Enhancement by Top-Hat and Bottom-Hat Transform with Optimal Structuring Element: Application to Retinal Vessel Segmentation,
ICIAR17(533-540).
Springer DOI 1706
BibRef

Frucci, M., Riccio, D., Sanniti di Baja, G.[Gabriella], Serino, L.,
Direction-Based Segmentation of Retinal Blood Vessels,
CIARP16(1-9).
Springer DOI 1703
BibRef

Soomro, T.A.[Toufique A.], Khan, M.A.U.[Mohammad A.U.], Gao, J.B.[Jun-Bin], Khan, T.M.[Tariq M.], Paul, M.[Manoranjan], Mir, N.[Nighat],
Automatic Retinal Vessel Extraction Algorithm,
DICTA16(1-8)
IEEE DOI 1701
Biomedical imaging BibRef

Khan, M.A.U.[Mohammad A.U.], Soomro, T.A.[Toufique A.], Khan, T.M.[Tariq M.], Bailey, D.G., Gao, J.B.[Jun-Bin], Mir, N.[Nighat],
Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes,
ICVNZ16(1-5)
IEEE DOI 1701
Biomedical imaging BibRef

Nougrara, Z., Kihal, N., Meunier, J.,
Semi-automated Extraction of Retinal Blood Vessel Network with Bifurcation and Crossover Points,
ISVC16(II: 340-348).
Springer DOI 1701
BibRef

Zheng, H., Chang, L., Wei, T., Qiu, X., Lin, P., Wang, Y.,
Registering Retinal Vessel Images from Local to Global via Multiscale and Multicycle Features,
WBIR16(490-497)
IEEE DOI 1612
BibRef

Lu, C.Y., Jing, B.Z., Chan, P.P.K., Xiang, D., Xie, W., Wang, J., Yeung, D.S.,
Vessel enhancement of low quality fundus image using mathematical morphology and combination of Gabor and matched filter,
ICWAPR16(168-173)
IEEE DOI 1611
Biomedical imaging BibRef

Zhou, L., Li, P., Yu, Q., Qiao, Y., Yang, J.,
Automatic hemorrhage detection in color fundus images based on gradual removal of vascular branches,
ICIP16(399-403)
IEEE DOI 1610
Feature extraction BibRef

Elbalaoui, A., Fakir, M., Taifi, K., Merbouha, A.,
Automatic Detection of Blood Vessel in Retinal Images,
CGiV16(324-332)
IEEE DOI 1608
diseases BibRef

Alves, W.A.L.[Wonder A.L.], Gobber, C.F.[Charles F.], Araújo, S.A.[Sidnei A.], Hashimoto, R.F.[Ronaldo F.],
Segmentation of Retinal Blood Vessels Based on Ultimate Elongation Opening,
ICIAR16(727-733).
Springer DOI 1608
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de Moura, J.[Joaquim], Novo, J.[Jorge], Ortega, M.[Marcos], Charlón, P.[Pablo],
3D Retinal Vessel Tree Segmentation and Reconstruction with OCT Images,
ICIAR16(716-726).
Springer DOI 1608
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Mapayi, T., Tapamo, J.R.,
Difference image and fuzzy c-means for detection of retinal vessels,
Southwest16(169-172)
IEEE DOI 1605
Databases BibRef

Kurilová, V., Pavlovicová, J., Oravec, M., Rakár, R., Marcek, I.,
Retinal blood vessels extraction using morphological operations,
WSSIP15(265-268)
IEEE DOI 1603
biomedical optical imaging BibRef

Riazifar, N., Saghapour, E.,
Retinal vessel segmentation using system fuzzy and DBSCAN algorithm,
IPRIA15(1-4)
IEEE DOI 1603
blood vessels BibRef

Gu, L., Cheng, L.,
Learning to Boost Filamentary Structure Segmentation,
ICCV15(639-647)
IEEE DOI 1602
Biomedical imaging BibRef

Dutta, T.[Tapash], Dutta, N.[Nilanjan], Bandyopadhyay, O.[Oishila],
Retinal Blood Vessel Segmentation and Bifurcation Point Detection,
IWCIA15(261-275).
Springer DOI 1601
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Roy, N.D., Biswas, A.,
Detection of bifurcation angles in a retinal fundus image,
ICAPR15(1-6)
IEEE DOI 1511
bifurcation BibRef

Irshad, S.[Samra], Akram, M.U.[M. Usman], Ayub, S.[Sara], Ayaz, A.[Anaum],
Retinal Blood Vessels Differentiation for Calculation of Arterio-Venous Ratio,
ICIAR15(411-418).
Springer DOI 1507
BibRef

Chen, D.[Da], Cohen, L.D.[Laurent D.],
Piecewise Geodesics for Vessel Centerline Extraction and Boundary Delineation with Application to Retina Segmentation,
SSVM15(270-281).
Springer DOI 1506
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Chen, Z.[Zenghai], Zhang, H.[Hui], Chi, Z.[Zheru], Fu, H.[Hong],
Hierarchical Local Binary Pattern for Branch Retinal Vein Occlusion Recognition,
RoLoD14(687-697).
Springer DOI 1504
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Khitran, S., Akram, M.U., Usman, A., Yasin, U.,
Automated system for the detection of hypertensive retinopathy,
IPTA14(1-6)
IEEE DOI 1503
biomedical optical imaging BibRef

Zhang, L.[Lei], Fisher, M.[Mark], Wang, W.[Wenjia],
Comparative performance of texton based vascular tree segmentation in retinal images,
ICIP14(952-956)
IEEE DOI 1502
Accuracy BibRef

Ding, S.[Shan], Ma, W.[Wenyi],
An Accurate Approach for Microaneurysm Detection in Digital Fundus Images,
ICPR14(1846-1851)
IEEE DOI 1412
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Kar, S.S.[Sudeshna Sil], Maity, S.P.[Santi P.],
Blood vessel extraction with optic disc removal in retinal images,
ICAPR15(1-6)
IEEE DOI 1511
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Kar, S.S.[Sudeshna Sil], Maity, S.P.[Santi P.], Delpha, C.[Claude],
On retinal blood vessel extraction using curvelet transform and differential evolution based maximum fuzzy entropy,
ICIP14(872-876)
IEEE DOI 1502
Biomedical imaging BibRef

Kar, S.S.[Sudeshna Sil], Maity, S.P.[Santi P.],
Extraction of Retinal Blood Vessel Using Curvelet Transform and Fuzzy C-Means,
ICPR14(3392-3397)
IEEE DOI 1412
Biomedical imaging BibRef

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Segmentation of Retinal Arteries in Adaptive Optics Images,
ICPR14(574-579)
IEEE DOI 1412
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Springer DOI 1410
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Springer DOI 1410
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Akram, M.U.[M. Usman], Khitran, S.A.[Sarmad Abbas], Usman, A.[Anam], ullah Yasin, U.[Ubaid],
Detection of Hemorrhages in Colored Fundus Images Using Non Uniform Illumination Estimation,
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Springer DOI 1410
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Qureshi, T.A.[Touseef Ahmad], Hunter, A.[Andrew], Al-Diri, B.[Bashir],
A Probabilistic Model for the Optimal Configuration of Retinal Junctions Using Theoretically Proven Features,
ICPR14(3304-3309)
IEEE DOI 1412
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A Bayesian Framework for the Local Configuration of Retinal Junctions,
CVPR14(3105-3110)
IEEE DOI 1409
Retinal vessels configuration. Bifurcation BibRef

Felipe-Riveron, E.M.[Edgardo M.], Castaldi, F.M.V.[Fabiola M. Villalobos], Gómez, E.S.[Ernesto Suaste], Vasconcellos, M.A.L.[Marcos A. Leiva], Morato, C.A.[Cecilia Albortante],
A Semi-supervised Puzzle-Based Method for Separating the Venous and Arterial Vascular Networks in Retinal Images,
MCPR14(251-260).
Springer DOI 1407
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Das, A., Pal, U., Blumenstein, M., Ferrer Ballester, M.A.,
Sclera Recognition: A Survey,
ACPR13(917-921)
IEEE DOI 1408
blood vessels BibRef

Roy, N.D.[Nilanjana Dutta], Someswar, M.[Milan], Dalmia, H.[Harshit], Biswas, A.[Arindam],
Identification of Distinct Blood Vessels in Retinal Fundus Images,
CompIMAGE14(106-114).
Springer DOI 1407
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Mapayi, T.[Temitope], Tapamo, J.R.[Jules-Raymond],
SAHF: Unsupervised Texture-Based Multiscale with Multicolor Method for Retinal Vessel Delineation,
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Springer DOI 1701
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Mapayi, T.[Temitope], Viriri, S.[Serestina], Tapamo, J.R.[Jules-Raymond],
A New Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on Local Homogeneity Information,
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Springer DOI 1406
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Nguyen, U.T.V., Bhuiyan, A., Park, L.A.F., Kawasaki, R., Wong, T.Y., Ramamohanarao, K.,
Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study,
ICIP13(616-620)
IEEE DOI 1402
Bifurcation BibRef

De, J.[Jaydeep], Ma, T.F.[Teng-Fei], Li, H.Q.[Hui-Qi], Dash, M.[Manoranjan], Li, C.[Cheng],
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Springer DOI 1311
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Dashtbozorg, B.[Behdad], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
Automatic Classification of Retinal Vessels Using Structural and Intensity Information,
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Springer DOI 1307
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Carreira, M.J.[María J.], Espona, L.[Lucia], Penedo, M.G.[Manuel G.], Mosquera, A.[Antonio],
Fast Segmentation of Retinal Blood Vessels Using a Deformable Contour Model,
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Springer DOI 1206
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Retinal vessel tree segmentation using a deformable contour model,
ICPR08(1-4).
IEEE DOI 0812
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And:
Comparison of Pixel and Subpixel Retinal Vessel Tree Segmentation Using a Deformable Contour Model,
CIARP08(683-690).
Springer DOI 0809
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Earlier: A1, A2, A4, A3:
A Snake for Retinal Vessel Segmentation,
IbPRIA07(II: 178-185).
Springer DOI 0706
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Caderno, I.G., Penedo, M.G., Mariño, C., Carreira, M.J., Gomez-Ulla, F., González, F.,
Automatic Extraction of the Retina AV Index,
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Springer DOI 0409
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Dai, B.S.[Bai-Sheng], Bu, W.[Wei], Wu, X.Q.[Xiang-Qian], Teng, Y.[Yan],
Retinal vessel segmentation via Iterative Geodesic Time Transform,
ICPR12(561-564).
WWW Link. 1302
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Oliveira, W.S.[Wendeson S.], Ren, T.I.[Tsang Ing], Cavalcanti, G.D.C.[George D.C.],
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IEEE DOI 1302
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Fraz, M.M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A.R., Owen, C.G., Barman, S.A.,
Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles,
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Springer DOI 1206
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Murray, V.[Victor], Agurto, C.[Carla], Barriga, S.[Simon], Pattichis, M.S.[Marios S.], Soliz, P.[Peter],
Real-time diabetic retinopathy patient screening using multiscale AM-FM methods,
ICIP12(525-528).
IEEE DOI 1302
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Agurto, C.[Carla], Yu, H.G.[Hong-Gang], Murray, V.[Victor], Pattichis, M.S.[Marios S.], Barriga, S.[Simon], Soliz, P.[Peter],
Detection of hard exudates and red lesions in the macula using a multiscale approach,
Southwest12(13-16).
IEEE DOI 1205
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Cao, S.S.Y.[Shearin Shuo-Ying], Bharath, A.A.[Anil A.], Parker, K.H.[Kim H.], Ng, J.[Jeffrey], Arnold, J.[John], McGregor, A.[Alison], Hill, A.[Adam],
Microvasculature Segmentation of Co-Registered Retinal Angiogram Sequences,
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PDF File. 1209
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Cao, S.S.Y.[Shearin Shuo-Ying], Bharath, A.A.[Anil A.], Parker, K.H.[Kim H.], Ng, J.[Jeffrey], Arnold, J.[John], McGregor, A.[Alison], Hill, A.[Adam],
Joint spatio-temporal registration and microvasculature segmentation of retinal angiogram sequences,
EMBC11(2618-2621).
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Chen, L.[Li], Ju, Y.Y.[Yao-Yong], Ding, S.[Sheng], Liu, X.M.[Xiao-Ming],
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IEEE DOI 1201
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Antal, B.[Balint], Hajdu, A.[Andras],
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IEEE DOI 1201
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Fraz, M.M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Owen, C.G.[Christopher G.], Rudnicka, A.R.[Alicja R.], Barman, S.A.,
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Springer DOI 1109
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Zhou, Z.[Zhi], Du, E.Y., Thomas, N.L.,
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IEEE DOI 1109
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IEEE DOI 1008
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Joshi, G.D.[Gopal Datt], Sivaswamy, J.[Jayanthi], Karan, K.[Kundun], Prashanth, R., Krishnadas, S.R.,
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Vázquez, S.G., Barreira, N., Penedo, M.G.[Manuel G.], Rodríguez-Blanco, M.,
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Thaïbaoui, A., Raji, A., Bunel, P.,
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Wood, S.L., Qu, G.Y.[Gong-Yuan], Roloff, L.W.,
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IEEE DOI 9510
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Kaupp, A., Dolemeyer, A., Wilzeck, R., Schlosser, R., Wolf, S., Meyer-Ebrecht, D.,
Measuring morphologic properties of the human retinal vessel system using a two-stage image processing approach,
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Glaucoma Retinopathy, Retinal Analysis Application .


Last update:Sep 25, 2017 at 16:36:46