Cataract and Other Ocular Diseases Detection Using Machine Learning
Year: 2025
Type: article
Abstract: Doctors face great encounter in recognizing eye disorders exhausting fundus pictures. An automated ocular disease detection system will be helpful in diagnosing ocular illnesses than by hand using fundus pictures. The machine learning model can be developed that can assess the severity of ocular diseases, including cataracts, by analyzing fundus photographs of patients. Total 20 papers were studied that provides ophthalmologists with an automated and accurate method for evaluating the severity of ocular diseases. By utilizing this study, model can be proposed where, ophthalmologists will be able to assess the extent of cataract development and other eye conditions, enabling appropriate treatment and care for patients.
Authors: Childvilas Chowdary, Akash D, Sandhya Rani, Nethravathi B
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4408871986