GlauSeg-Net: Retinal Fundus Medical Image Automatic Segmentation With Multi-Task Learning for Glaucoma Early Screening

Glaucoma is one of the leading causes of irreversible vision loss globally, often resulting in going blind. Early detection and treatment are critical in mitigating its impact, with retinal fundus imaging being the most common method for early screening. Traditionally, glaucoma is diagnosed by exami...

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Bibliografiske detaljer

Principais autores:	Shuting Chen, Dezhi Wei, Chengxi Hong, Li Li, Xiuliang Qiu, Hong Jia
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Cetinal fundus medical image glaucoma optic disc optic cup segmentation multi-task learning
Online adgang:	https://ieeexplore.ieee.org/document/10729218/
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