Actively maintained and comprehensive public glaucoma dataset catalog

Standardized Multi-Channel Dataset for Glaucoma (SMDG-19) is a collection and standardization of 19 public full-fundus glaucoma images and associated metadata.

Code for diagnosing glaucoma from Lumos lens

This project uses deep learning algorithms and the Keras library to determine if a person has certain diseases or not from their chest x-rays and other scans. The trained model is displayed using Streamlit, which enables the user to upload an image and receive instant feedback.

In order to perform Glaucoma Diagnosis, image segmentation is performed to identify the size of Optic Disk and Cup. This repository contains U-Net segmentation network for the retinal image segmentation.

Repositório com a parte prática do meu Trabalho de Conclusão de Curso III, referente ao algoritmo da arquitetura CapsNet para a classificação de imagens de retina em glaucomatosas e normais.

Code for the SIPAIM 2024 paper 'Automatic Glaucoma Classification and Justification Using a Large and Diverse Dataset'.

Convert hand written intraocular pressure graphs to csv.

This project involves building a Glaucoma Detection AI-ML model using a Convolutional Neural Network (CNN) to classify retinal images as either "Glaucoma Affected" or "Normal." The model is trained using ImageDataGenerator for data augmentation, with binary cross-entropy loss, Adam optimizer, and is saved in `.keras` format.