cataract

This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv algorithms with the accuracy of 96 percent.

Android app which uses Neural architecture to detect the type and grade of the cataract

Deep learning pipeline for classification of Cataract, Diabetic Retinopathy, Glaucoma and Normal using fundus images

A simple python cataract detection application (demo) written by flask, tensorflow and gevent.

An application to showcase how neural networks can help in classifying images of eye fundus to show if they contain cataracts or not

AI-powered multi-disease eye disease detection system using EfficientNetB0, Grad-CAM Explainable AI, and Streamlit .

Normal reports. Persistent symptoms. Something still feels wrong. Evidence-based second-opinion, and insights on glaucoma, dry eye, neuro-ophthalmology, and comprehensive eye care by Dr Shibal Bhartiya. Fellowship-trained glaucoma specialist and Mayo Clinic Research Collaborator, Clinical Director Marengo Asia Hospitals, Gurgaon, India.

Cataract classification from fundus images using a robust model that combines InceptionV3, VGG19, and InceptionResNetV2 through stacking, achieving an accuracy of 98.31%. This advanced approach ensures high precision and sensitivity, making it highly effective in distinguishing between cataract and normal cases.

This GitHub repo contains a Cataract-Prediction project deployed using Flask web framework. The project involves the development of a machine learning model to predict the presence of cataracts in eye images. The Flask web application allows users to upload eye images and receive a prediction of cataract presence.

OphthaCare_AI is an AI-powered ophthalmology and eye health research platform. Content is compiled from published medical literature, clinical guidelines (AAO, RCOphth, ICO, WHO), and research databases. It enables upload and analysis of reports. This open, collaborative system grows stronger with every user. Share it widely.

Pre- and post-operative cataract surgery teaching materials, including image resources and subtitle files, for use in ophthalmology medical education scenarios.