Citation
Hossain, Mubdiul and Ali, Aziah and Hashim, Noramiza (2022) Combinatorial Filtering and Machine Learning Approach to Improve Vessel Segmentation for Retinal Image Analysis. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)
Text
19.MOHAMMAD MUBDIUL HOSSAIN.pdf - Submitted Version Restricted to Registered users only Download (559kB) |
Abstract
In assessing prevalent eye-diseases such Glaucoma, Diabetic Retinopathy (DR), Age-related macular degeneration (AMD) etc. retinal image understanding is crucial [1],[2]. • Fundus cameras are used to capture the fundus images which visualize the interior surface of the eye. • Fundus images are analyzed by the ophthalmologist to identify any abnormalities within the retinal structures. • Retinal blood vessel (RBV) and Optic Disc (OD) structures found in fundus images are segmented and localized to diagnose diseases.
Item Type: | Conference or Workshop Item (Poster) |
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Uncontrolled Keywords: | Machine Learning |
Subjects: | Q Science > Q Science (General) > Q300-390 Cybernetics |
Divisions: | Faculty of Computing and Informatics (FCI) |
Depositing User: | Ms Suzilawati Abu Samah |
Date Deposited: | 19 Dec 2022 09:23 |
Last Modified: | 19 Dec 2022 09:23 |
URII: | http://shdl.mmu.edu.my/id/eprint/10934 |
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