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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Päätekijät:	Dulyawat Manawongsakul, Karn Patanukhom
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-09-01
Sarja:	Algorithms
Aiheet:	corneal ulcer convolutional neural network deep learning Hough transform image processing image segmentation
Linkit:	https://www.mdpi.com/1999-4893/17/9/405
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