A New Glaucoma Detection Method Using a Swin Transformer and Image Segmentation

This study develops and evaluates an advanced automated system for glaucoma detection using deep learning techniques, addressing the limitations of traditional diagnostic methods that rely heavily on ophthalmologists’ expertise, often leading to inconsistencies and delays. By merging five publicly a...

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Bibliographic Details

Main Authors:	Fatima Shehu Tofa, Muhammed Hassan, Usman Mahmud, Lawan Yusuf
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2025-10-01
Series:	Engineering Proceedings
Subjects:	automated glaucoma detection deep learning retinal fundus images Deformer Swin Transformer image segmentation
Online Access:	https://www.mdpi.com/2673-4591/87/1/113
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