From Pixel to Prognosis: Convolutional and GLCM Feature Fusion for Automated Four-Class Cataract Severity Classification

2026/01/01 by K. Mithra, Prem Kumar Santhanam
Medicine · Biochemistry, Genetics and Molecular Biology · #Retinal Imaging and Analysis #Ophthalmology and Visual Impairment Studies #Connexins and lens biology

paper · pdf · doi:10.32604/jimh.2026.083110

Abstract

Objective: To develop a low-cost automated cataract severity classification system operating on standard consumer-grade colour photographs of the eye, without specialised ophthalmic hardware. Methods: A hybrid framework was ... | Find, read and cite all the research you need on Tech Science Press

Citations

• Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Multi-Dataset Validation, Statistical Analysis, and Comparative Benchmarking

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