A Segmentation-Based Automated Corneal Ulcer Grading System for Ocular Staining Images Using Deep Learning and Hough Circle Transform

Corneal ulcer is a prevalent ocular condition that requires ophthalmologists to diagnose, assess, and monitor symptoms. During examination, ophthalmologists must identify the corneal ulcer area and evaluate its severity by manually comparing ocular staining images with severity indices. However, man...

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Detalhes bibliográficos

Principais autores:	Dulyawat Manawongsakul, Karn Patanukhom
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-09-01
Colecção:	Algorithms
Assuntos:	corneal ulcer convolutional neural network deep learning Hough transform image processing image segmentation
Acesso em linha:	https://www.mdpi.com/1999-4893/17/9/405
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