DocumentCode :
259962
Title :
A Semi-automated System for Optic Nerve Head Segmentation in Digital Retinal Images
Author :
Chakraborty, Sayan ; Mukherjee, Aniruddha ; Chatterjee, Debmalya ; Maji, Prasenjit ; Acharjee, Suvojit ; Dey, Nilanjan
Author_Institution :
Dept. of CSE, Bengal Coll. of Eng. & Tech, Durgapur, India
fYear :
2014
fDate :
22-24 Dec. 2014
Firstpage :
112
Lastpage :
117
Abstract :
Out of the twelve pairs of cranial nerves, optic nerve is the most important cranial nerve. Optic nerve establishes a connection from eyeball to brain. The four segments present in optic are: intraocular, intra-orbital, intracanalicular, and intracranial. Optical nerve head segmentation may lead to detection of many diseases such as glaucoma, eye hypertension. We propose a semi-automated system, where independent contours are defined, and then with the help of those ground truths, a person with medical education and solid experience in ophthalmology will be able to manually set the contours. Such a process would result in extracting information regarding optic diseases like glaucoma, diabetic retinopathy, age-related macular degeneration, retinal vascular occlusion.
Keywords :
diseases; eye; image segmentation; neurophysiology; age-related macular degeneration; cranial nerves; diabetic retinopathy; digital retinal images; eye hypertension disease detection; glaucoma disease detection; ground truths; independent contours; information extraction; intracanalicular optic; intracranial optic; intraocular optic; intraorbital optic; ophthalmology; optic diseases; optic nerve head segmentation; retinal vascular occlusion; semiautomated system; Biomedical optical imaging; Head; Image segmentation; Integrated optics; Optical filters; Optical imaging; Retina; Optical images; cup to disc ratio; optic nerve head; retinal images; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology (ICIT), 2014 International Conference on
Conference_Location :
Bhubaneswar
Print_ISBN :
978-1-4799-8083-3
Type :
conf
DOI :
10.1109/ICIT.2014.51
Filename :
7033306
Link To Document :
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