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 (Unpublished)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)
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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