20.5.1 Optic Disc Location, Optic Disc Detection

Chapter Contents (Back)
Optic Disc. Retinal Images.

Lalonde, M., Beaulieu, M., Gagnon, L.,
Fast and robust optic disc detection using pyramidal decomposition and hausdorff-based template matching,
MedImg(20), No. 11, November 2001, pp. 1193-1200.
IEEE Top Reference. 0111
BibRef

Niemeijer, M., van Ginneken, B., Staal, J., Suttorp-Schulten, M.S.A., Abramoff, M.D.,
Automatic Detection of Red Lesions in Digital Color Fundus Photographs,
MedImg(24), No. 5, May 2005, pp. 584-592.
IEEE Abstract. 0505
BibRef

Niemeijer, M., Abramoff, M.D., van Ginneken, B.,
Segmentation of the Optic Disc, Macula and Vascular Arch in Fundus Photographs,
MedImg(26), No. 1, January 2007, pp. 116-127.
IEEE DOI 0701
See also Information Fusion for Diabetic Retinopathy CAD in Digital Color Fundus Photographs. BibRef

Niemeijer, M., van Ginneken, B.[Bram], ter Haar, F.B., Abramoff, M.D.,
Automatic detection of the optic disc, fovea and vacular arch in digital color photographs of the retina,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Foracchia, M., Grisan, E., Ruggeri, A.,
Detection of Optic Disc in Retinal Images by Means of a Geometrical Model of Vessel Structure,
MedImg(23), No. 10, October 2004, pp. 1189-1195.
IEEE Abstract. 0410
BibRef

Novo, J., Penedo, M.G., Santos, J.,
Localisation of the optic disc by means of GA-optimised Topological Active Nets,
IVC(27), No. 10, 2 September 2009, pp. 1572-1584.
Elsevier DOI 0906
BibRef
Earlier:
Optic Disc Segmentation by Means of GA-Optimized Topological Active Nets,
ICIAR08(xx-yy).
Springer DOI 0806
Topological Active Nets; Genetic algorithms; Optic disc See also Evolutionary multiobjective optimization of Topological Active Nets. BibRef

Aquino, A., Gegundez-Arias, M.E., Marin, D.,
Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques,
MedImg(29), No. 11, November 2010, pp. 1860-1869.
IEEE DOI 1011
BibRef

Mahfouz, A.E.[Ahmed Essam], Fahmy, A.S.[Ahmed S.],
Fast Localization of the Optic Disc Using Projection of Image Features,
IP(19), No. 12, December 2010, pp. 3285-3289.
IEEE DOI 1011
BibRef
Earlier:
Ultrafast optic disc localization using projection of image features,
ICIP09(665-668).
IEEE DOI 0911
BibRef

Lu, S.,
Accurate and Efficient Optic Disc Detection and Segmentation by a Circular Transformation,
MedImg(30), No. 12, December 2011, pp. 2126-2133.
IEEE DOI 1112
BibRef

Dehghani, A.[Amin],
Optic disc localization in retinal images using histogram matching,
JIVP(2012), No. 1 2012, pp. 19 8 October 2012.
DOI Link 1210
BibRef

Shahbeig, S.[Saleh], Pourghassem, H.[Hossein],
Fast and automatic algorithm for optic disc extraction in retinal images using principle-component-analysis-based preprocessing and curvelet transform,
JOSA-A(30), No. 1, January 2013, pp. 13-21.
WWW Link. 1211
BibRef

Shahbeig, S.,
Automatic and quick blood vessels extraction algorithm in retinal images,
IET-PR(7), No. 4, 2013, pp. -.
DOI Link 1307
BibRef

Morales, S., Naranjo, V., Angulo, J., Alcaniz, M.,
Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology,
MedImg(32), No. 4, April 2013, pp. 786-796.
IEEE DOI 1304
BibRef

Chin, K.S.[Khai Sing], Trucco, E.[Emanuele], Tan, L.L.[Lai-Ling], Wilson, P.J.[Peter J.],
Automatic fovea location in retinal images using anatomical priors and vessel density,
PRL(34), No. 10, 15 July 2013, pp. 1152-1158.
Elsevier DOI 1306
Fovea; Automatic fovea detection; Computer-assisted image analysis; Retina; Computer-assisted image interpretation BibRef

Giachetti, A.[Andrea], Chin, K.S.[Khai S.], Trucco, E.[Emanuele], Cobb, C.[Caroline], Wilson, P.J.[Peter J.],
Multiresolution localization and segmentation of the optical disc in fundus images using inpainted background and vessel information,
ICIP11(2145-2148).
IEEE DOI 1201
BibRef

Ahmed, M.I.[M. Islamuddin], Amin, M.A.[M. Ashraful],
High speed detection of optical disc in retinal fundus image,
SIViP(9), No. 1, January 2015, pp. 77-85.
WWW Link. 1503
BibRef

Allam, A.[Ali], Youssif, A.[Aliaa], Ghalwash, A.[Atef],
Automatic Segmentation of Optic Disc in Eye Fundus Images: A Survey,
ELCVIA(14), No. 1, 2015, pp. xx-yy.
DOI Link 1506
Survey, Optic Disc. BibRef

Wu, X., Dai, B., Bu, W.,
Optic Disc Localization Using Directional Models,
IP(25), No. 9, September 2016, pp. 4433-4442.
IEEE DOI 1609
blood vessels BibRef

Díaz-Pernil, D.[Daniel], Fondón, I.[Irene], Peña-Cantillana, F.[Francisco], Gutiérrez-Naranjo, M.A.[Miguel A.],
Fully automatized parallel segmentation of the optic disc in retinal fundus images,
PRL(83, Part 1), No. 1, 2016, pp. 99-107.
Elsevier DOI 1609
Optic disc BibRef

Dai, B.S.[Bai-Sheng], Wu, X.Q.[Xiang-Qian], Bu, W.[Wei],
Optic disc segmentation based on variational model with multiple energies,
PR(64), No. 1, 2017, pp. 226-235.
Elsevier DOI 1701
Retinal disease BibRef

Guo, X.X.[Xiao-Xin], Li, Q.[Qun], Sun, C.[Chao],
Automatic localization of optic disk based on texture orientation voting,
SIViP(11), No. 6, September 2017, pp. 1115-1122.
WWW Link. 1708
BibRef

Dashtbozorg, B.[Behdad], Zhang, J.[Jiong], Huang, F.[Fan], ter Haar Romeny, B.M.[Bart M.],
Retinal Microaneurysms Detection Using Local Convergence Index Features,
IP(27), No. 7, July 2018, pp. 3300-3315.
IEEE DOI 1805
BibRef
And:
Automatic Optic Disc and Fovea Detection in Retinal Images Using Super-Elliptical Convergence Index Filters,
ICIAR16(697-706).
Springer DOI 1608
biomedical optical imaging, diseases, eye, feature extraction, image classification, image resolution, retina BibRef

Fu, H., Cheng, J., Xu, Y., Wong, D.W.K., Liu, J., Cao, X.,
Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation,
MedImg(37), No. 7, July 2018, pp. 1597-1605.
IEEE DOI 1808
biomedical optical imaging, convolution, diseases, eye, feedforward neural nets, image classification, cup to disc ratio BibRef

Guo, F.[Fan], Peng, H.[Hui], Zou, B.[Beiji], Zhao, R.C.[Rong-Chang], Liu, X.[Xiyao],
Localisation and segmentation of optic disc with the fractional-order Darwinian particle swarm optimisation algorithm,
IET-IPR(12), No. 8, August 2018, pp. 1303-1312.
DOI Link 1808
BibRef


Mohan, D., Harish Kumar, J.R., Sekhar Seelamantula, C.,
High-Performance Optic Disc Segmentation Using Convolutional Neural Networks,
ICIP18(4038-4042)
IEEE DOI 1809
Image segmentation, Optical imaging, Biomedical optical imaging, Optical computing, Semantics, Optical fiber networks, Jaccard coefficient BibRef

Edupuganti, V.G., Chawla, A., Kale, A.,
Automatic Optic Disk and Cup Segmentation of Fundus Images Using Deep Learning,
ICIP18(2227-2231)
IEEE DOI 1809
Image segmentation, Training, Optical imaging, Neural networks, Semantics, Machine learning, Optical computing, Fundus Imaging BibRef

Sarrafzadeh, O., Rabbani, H., Dehnavi, A.M.,
Circlet based framework for optic disk detection,
ICIP17(3330-3334)
IEEE DOI 1803
biomedical optical imaging, blood vessels, diseases, eye, image colour analysis, image enhancement, image segmentation, Optic Disk Detection BibRef

Irshad, S.[Samra], Yin, X.X.[Xiao-Xia], Li, L.Q.[Lucy Qing], Salman, U.[Umer],
Automatic Optic Disk Segmentation in Presence of Disk Blurring,
ISVC16(I: 13-23).
Springer DOI 1701
BibRef

Lesay, B., Pavlovicová, J., Oravec, M., Kurilová, V.,
Optic disc localization in fundus images,
WSSIP16(1-4)
IEEE DOI 1608
Hough transforms BibRef

Hussain, M.A.[M. Akter], Bhuiyan, A.[Alauddin], Ramamohanarao, K.[Kotagiri],
Automatic Retinal Minimum Distance Band (MDB)Computation from SD-OCT Images,
DICTA15(1-8)
IEEE DOI 1603
BibRef
Earlier:
Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina,
ICIP15(4087-4091)
IEEE DOI 1512
biomedical optical imaging. BMO-MRW; Connected Component Analysis; Disc; SD-OCT; Shortest Path Problem BibRef

Zilly, J.G.[Julian G.], Buhmann, J.M.[Joachim M.], Mahapatra, D.[Dwarikanath],
Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images,
MLMI15(136-143).
Springer DOI 1511
BibRef

Wahab, H., Haider, S.R., Khitran, S., ul Huda, N., Akram, M.U.,
Bright region and vessel density based robust optic disc segmentation,
IPTA14(1-6)
IEEE DOI 1503
biomedical optical imaging BibRef

Usman, A.[Anam], Khitran, S.A.[Sarmad Abbas], Akram, M.U.[M. Usman], Nadeem, Y.[Yasser],
A Robust Algorithm for Optic Disc Segmentation from Colored Fundus Images,
ICIAR14(II: 303-310).
Springer DOI 1410
BibRef

Figueiredo, I.N.[Isabel N.], Kumar, S.I.[Sun-Il],
Automatic Optic Disc Detection in Retinal Fundus Images Based on Geometric Features,
ICIAR14(II: 285-292).
Springer DOI 1410
BibRef
And:
Wavelet-Based Computer-Aided Detection of Bright Lesions in Retinal Fundus Images,
CompIMAGE14(234-240).
Springer DOI 1407
BibRef

Zhang, D.B.[Dong-Bo], Yi, Y.[Yao], Shang, X.Y.[Xing-Yu], Peng, Y.H.[Ying-Hui],
Optic disc localization by projection with vessel distribution and appearance characteristics,
ICPR12(3176-3179).
WWW Link. 1302
BibRef

Sinha, N.[Neelam], Babu, R.V.[R. Venkatesh],
Optic disk localization using L1 minimization,
ICIP12(2829-2832).
IEEE DOI 1302
BibRef

Malek, J.[Jihene], Abdallah, M.B.[Mariem Ben], Mansour, A.[Asma], Tourki, R.[Rached],
Automated optic disc detection in retinal images by applying region-based active aontour model in a variational level set formulation,
CVRS12(39-44).
IEEE DOI 1302
BibRef

Abbas, Q.[Qaisar], Fondón, I.[Irene], Jiménez, S.[Soledad], Alemany, P.[Pedro],
Automatic Detection of Optic Disc from Retinal Fundus Images Using Dynamic Programming,
ICIAR12(II: 416-423).
Springer DOI 1206
BibRef

Lu, S.J.[Shi-Jian], Lim, J.H.[Joo Hwee],
Automatic optic disc detection through background estimation,
ICIP10(833-836).
IEEE DOI 1009
BibRef

Lu, S.J.[Shi-Jian], Lim, J.H.[Joo Hwee],
Automatic macula detection from retinal images by a line operator,
ICIP10(4073-4076).
IEEE DOI 1009
BibRef

Kauppi, T.[Tomi], Kälviäinen, H.[Heikki],
Simple and Robust Optic Disc Localisation Using Colour Decorrelated Templates,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Pallawala, P.M.D.S., Hsu, W.[Wynne], Lee, M.L.[Mong Li], Eong, K.G.A.[Kah-Guan Au],
Automated Optic Disc Localization and Contour Detection Using Ellipse Fitting and Wavelet Transform,
ECCV04(Vol II: 139-151).
Springer DOI 0405
BibRef
Earlier: A2, A1, A3, A4:
The Role of Domain Knowledge in the Detection of Retinal Hard Exudates,
CVPR01(II:246-251).
IEEE DOI 0110
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Retinal Images, Angiography, Blood Vessels in the Eye .


Last update:Oct 15, 2018 at 09:19:25