Deep Learning-based Model Benchmarking of Glaucoma Segmentation Using a Novel Ibn Al-Haitham Fundus Image Dataset

Deep Learning-based Model Benchmarking of Glaucoma Segmentation Using a Novel Ibn Al-Haitham Fundus Image Dataset

Automated fundus image analysis is critical in diagnosing glaucoma, whereby the optic nerve areas that consist of optic discs and cups need to be precisely mapped, which is a process that requires considerable effort and time. Generally, the application of Artificial intelligence (AI) has made consi...

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Bibliographic Details
Published in:2024 International Conference on Smart Computing, IoT and Machine Learning, SIML 2024
Main Author: Zedan M.J.M.; Zulkifley M.A.; Saeed B.A.; Abdani S.R.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198838588&doi=10.1109%2fSIML61815.2024.10578202&partnerID=40&md5=9a47644ce5f0e199f6f40990fefe7e24

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198838588&doi=10.1109%2fSIML61815.2024.10578202&partnerID=40&md5=9a47644ce5f0e199f6f40990fefe7e24

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