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Items: 1 to 20 of 161

1.

Superpixel classification for initialization in model based optic disc segmentation.

Cheng J, Liu J, Xu Y, Yin F, Wong DW, Lee BH, Cheung C, Aung T, Wong TY.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1450-3. doi: 10.1109/EMBC.2012.6346213.

PMID:
23366174
2.

Superpixel classification based optic disc and optic cup segmentation for glaucoma screening.

Cheng J, Liu J, Xu Y, Yin F, Wong DW, Tan NM, Tao D, Cheng CY, Aung T, Wong TY.

IEEE Trans Med Imaging. 2013 Jun;32(6):1019-32. doi: 10.1109/TMI.2013.2247770. Epub 2013 Feb 18.

PMID:
23434609
3.

Automatic optic disc segmentation with peripapillary atrophy elimination.

Cheng J, Liu J, Wong DW, Yin F, Cheung C, Baskaran M, Aung T, Wong TY.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6224-7. doi: 10.1109/IEMBS.2011.6091537.

PMID:
22255761
4.

Superpixel classification based optic cup segmentation.

Cheng J, Liu J, Tao D, Yin F, Wong DW, Xu Y, Wong TY.

Med Image Comput Comput Assist Interv. 2013;16(Pt 3):421-8.

PMID:
24505789
5.

Sector-based optic cup segmentation with intensity and blood vessel priors.

Yin F, Liu J, Wong DW, Tan NM, Cheng J, Cheng CY, Tham YC, Wong TY.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1454-7. doi: 10.1109/EMBC.2012.6346214.

PMID:
23366175
6.

Self-assessment for optic disc segmentation.

Cheng J, Liu J, Yin F, Lee BH, Wong DW, Aung T, Cheng CY, Wong TY.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:5861-4. doi: 10.1109/EMBC.2013.6610885.

PMID:
24111072
7.

Efficient optic cup localization using regional propagation based on retinal structure priors.

Xu Y, Liu J, Cheng J, Yin F, Tan NM, Wong DW, Baskaran M, Cheng CY, Wong TY.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1430-3. doi: 10.1109/EMBC.2012.6346208.

PMID:
23366169
8.

Learning-based approach for the automatic detection of the optic disc in digital retinal fundus photographs.

Wong DK, Liu J, Tan NM, Yin F, Lee BH, Wong TY.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:5355-8. doi: 10.1109/IEMBS.2010.5626466.

PMID:
21096259
9.

Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach.

Welfer D, Scharcanski J, Kitamura CM, Dal Pizzol MM, Ludwig LW, Marinho DR.

Comput Biol Med. 2010 Feb;40(2):124-37. doi: 10.1016/j.compbiomed.2009.11.009. Epub 2009 Dec 31.

PMID:
20045104
10.

Fast localization and segmentation of optic disk in retinal images using directional matched filtering and level sets.

Yu H, Barriga ES, Agurto C, Echegaray S, Pattichis MS, Bauman W, Soliz P.

IEEE Trans Inf Technol Biomed. 2012 Jul;16(4):644-57. doi: 10.1109/TITB.2012.2198668. Epub 2012 May 10.

PMID:
22588616
11.

Segmentation of the blood vessels and optic disk in retinal images.

Salazar-Gonzalez A, Kaba D, Li Y, Liu X.

IEEE J Biomed Health Inform. 2014 Nov;18(6):1874-86. doi: 10.1109/JBHI.2014.2302749. Epub 2014 Jan 27.

PMID:
25265617
12.

Model-based optic nerve head segmentation on retinal fundus images.

Yin F, Liu J, Ong SH, Sun Y, Wong DW, Tan NM, Cheung C, Baskaran M, Aung T, Wong TY.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:2626-9. doi: 10.1109/IEMBS.2011.6090724.

PMID:
22254880
13.

Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods.

Muramatsu C, Nakagawa T, Sawada A, Hatanaka Y, Hara T, Yamamoto T, Fujita H.

Comput Methods Programs Biomed. 2011 Jan;101(1):23-32. doi: 10.1016/j.cmpb.2010.04.006. Epub 2010 May 23.

PMID:
20546966
14.

Automatic localization of the optic disc by combining vascular and intensity information.

Mendonça AM, Sousa A, Mendonça L, Campilho A.

Comput Med Imaging Graph. 2013 Jul-Sep;37(5-6):409-17. doi: 10.1016/j.compmedimag.2013.04.004. Epub 2013 May 29.

PMID:
23726437
15.

Correlation of the peripapillary atrophy area with optic disc cupping and disc hemorrhage.

Hayakawa T, Sugiyama K, Tomita G, Kawase K, Onda E, Shinohara H, Tsuji A, Kitazawa Y.

J Glaucoma. 1998 Oct;7(5):306-11.

PMID:
9786558
16.

Segmentation of optic disc and optic cup in retinal fundus images using shape regression.

Sedai S, Roy PK, Mahapatra D, Garnavi R.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:3260-3264. doi: 10.1109/EMBC.2016.7591424.

PMID:
28269003
17.

Fractal-based automatic localization and segmentation of optic disc in retinal images.

Ying H, Zhang M, Liu JC.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4139-41.

PMID:
18002913
18.

Automatic detection of optic disc based on PCA and mathematical morphology.

Morales S, Naranjo V, Angulo U, Alcaniz M.

IEEE Trans Med Imaging. 2013 Apr;32(4):786-96. doi: 10.1109/TMI.2013.2238244. Epub 2013 Jan 9.

PMID:
23314772
19.

Efficient optic cup detection from intra-image learning with retinal structure priors.

Xu Y, Liu J, Lin S, Xu D, Cheung CY, Aung T, Wong TY.

Med Image Comput Comput Assist Interv. 2012;15(Pt 1):58-65.

PMID:
23285535
20.

Parapapillary atrophy and optic disc region assessment (PANDORA): retinal imaging tool for assessment of the optic disc and parapapillary atrophy.

Lu CK, Tang TB, Laude A, Dhillon B, Murray AF.

J Biomed Opt. 2012 Oct;17(10):106010. doi: 10.1117/1.JBO.17.10.106010.

PMID:
23224009

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