20.5.6 Macular Degeneration Detection, Retinal Analysis Application

Chapter Contents (Back)
Retinal Images. Macular Degeneration. See also Diabetic Retinopathy, Retinal Analysis Application.

Elsner, A.E.[Ann E.], Weber, A.[Anke], Cheney, M.C.[Michael C.], van Nasdale, D.A.[Dean A.], Miura, M.[Masahiro],
Imaging polarimetry in patients with neovascular age-related macular degeneration,
JOSA-A(24), No. 5, May 2007, pp. 1468-1480.
WWW Link. 0801
BibRef

Quellec, G., Lee, K.[Kyungmoo], Dolejsi, M., Garvin, M.K., Abramoff, M.D., Sonka, M.,
Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula,
MedImg(29), No. 6, June 2010, pp. 1321-1330.
IEEE DOI 1007
BibRef

Tanter, M., Touboul, D., Gennisson, J.L., Bercoff, J., Fink, M.,
High-Resolution Quantitative Imaging of Cornea Elasticity Using Supersonic Shear Imaging,
MedImg(28), No. 12, December 2009, pp. 1881-1893.
IEEE DOI 0912
See also Potential of MRI and Ultrasound Radiation Force in Elastography: Applications to Diagnosis and Therapy. BibRef

Soliz, P., Russell, S.R., Abramoff, M.D., Murillo, S., Pattichis, M., Davis, H.,
Independent Component Analysis for Vision-inspired Classification of Retinal Images with Age-related Macular Degeneration,
Southwest08(65-68).
IEEE DOI 0803
BibRef

Deepak, K.S., Sivaswamy, J.,
Automatic Assessment of Macular Edema From Color Retinal Images,
MedImg(31), No. 3, March 2012, pp. 766-776.
IEEE DOI 1203
BibRef

Nasrulloh, A.V., Willcocks, C.G., Jackson, P.T.G., Geenen, C., Habib, M.S., Steel, D.H.W., Obara, B.,
Multi-Scale Segmentation and Surface Fitting for Measuring 3-D Macular Holes,
MedImg(37), No. 2, February 2018, pp. 580-589.
IEEE DOI 1802
Image segmentation, Level set, Retina, Robustness, Shape, multi-scale techniques BibRef

Mohaimin, S.M.[Sultan Mohammad], Saha, S.K.[Sajib Kumar], Khan, A.M.[Alve Mahamud], Arif, A.S.M.[Abu Shamim Mohammad], Kanagasingam, Y.[Yogesan],
Automated method for the detection and segmentation of drusen in colour fundus image for the diagnosis of age-related macular degeneration,
IET-IPR(12), No. 6, June 2018, pp. 919-927.
DOI Link 1805
BibRef


Hassan, T.[Taimur], Akram, M.U.[M. Usman], Masood, M.F.[M. Furqan], Yasin, U.[Ubaidullah],
BIOMISA Retinal Image Database for Macular and Ocular Syndromes,
ICIAR18(695-705).
Springer DOI 1807
BibRef

Kumar, J.R.H., Adhikari, R., Kamath, Y., Jampala, R., Seelamantula, C.S.,
Automatic delineation of macular regions based on a locally defined contrast function,
ICIP17(1362-1366)
IEEE DOI 1803
affine transforms, biomedical optical imaging, blood vessels, diseases, eye, gradient methods, image segmentation, matched filters, maculopathy BibRef

Naz, S., Ahmed, A., Akram, M.U., Khan, S.A.,
Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images,
IPTA16(1-4)
IEEE DOI 1703
eye BibRef

Stankiewicz, A., Marciniak, T., Dabrowski, A., Stopa, M., Rakowicz, P., Marciniak, E.,
Automatic modeling and classification of vitreomacular traction pathology stages,
IPTA16(1-6)
IEEE DOI 1703
biomedical optical imaging BibRef

Ravenscroft, D.[Dafydd], Deng, J.J.[Jing-Jing], Xie, X.H.[Xiang-Hua], Terry, L.[Louise], Margrain, T.H.[Tom H.], North, R.V.[Rachel V.], Wood, A.[Ashley],
AMD Classification in Choroidal OCT Using Hierarchical Texton Mining,
ACIVS17(237-248).
Springer DOI 1712
BibRef

Deng, J.J.[Jing-Jing], Xie, X.H.[Xiang-Hua], Terry, L.[Louise], Wood, A.[Ashley], White, N.[Nick], Margrain, T.H.[Tom H.], North, R.V.[Rachel V.],
Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images,
ICIAR16(707-715).
Springer DOI 1608
BibRef

Morales, S.[Sandra], Engan, K.[Kjersti], Naranjo, V.[Valery], Colomer, A.[Adrian],
Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests,
ICIP15(4838-4842)
IEEE DOI 1512
Age-related Macular Degeneration BibRef

Phan, T.V.[Thanh Vān], Seoud, L.[Lama], Cheriet, F.[Farida],
Towards an Automatic Clinical Classification of Age-Related Macular Degeneration,
ICIAR15(352-359).
Springer DOI 1507
BibRef

Liu, H.Y.[Hui-Ying], Xu, Y.[Yanwu], Wong, D.W.K.[Damon Wing Kee], Liu, J.[Jiang],
Effective Drusen Segmentation from Fundus Images for Age-Related Macular Degeneration Screening,
ACCV14(III: 483-498).
Springer DOI 1504
BibRef
And:
Growcut-based drusen segmentation for age-related macular degeneration detection,
VCIP14(161-164)
IEEE DOI 1504
biomedical optical imaging BibRef

Dufour, P.A.[Pascal Andre], de Zanet, S.[Sandro], Wolf-Schnurrbusch, U.[Ute], Kowal, J.[Jens],
Classification of drusen positions in optical coherence tomography data from patients with age-related macular degeneration,
ICPR12(2067-2070).
WWW Link. 1302
BibRef

Cheng, J.[Jun], Wong, D.W.K.[Damon Wing Kee], Cheng, X.G.[Xian-Gang], Liu, J.[Jiang], Tan, N.M.[Ngan Meng], Bhargava, M.[Mayuri], Cheung, C.M.G.[Chui Ming Gemmy], Wong, T.Y.[Tien Yin],
Early age-related macular degeneration detection by focal biologically inspired feature,
ICIP12(2805-2808).
IEEE DOI 1302
BibRef

Rapantzikos, K., Zervakis, M.,
Nonlinear Enhancement and Segmentation Algorithm for the Detection of Age-related Macular Degeneration (AMD) in Human Eye's Retina,
ICIP01(III: 1055-1058).
IEEE DOI 0108
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Retinal Images, Optical Coherence Tomography, OCT .


Last update:Nov 17, 2018 at 09:12:27