Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.

The use of AI/ML to classify canine diseases based on chemical tests performed in the College of Vet. at the University of Saskatchewan.

[JBHI 2025] Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation

Multiple Disease Diagnosis System using Medical Images

COVID-19 diagnosis using Chest X-Ray images with Transfer Learning

This project implements a real-time mango tree disease detection and targeted irrigation system. The solution leverages image processing, machine learning, and hardware automation to detect diseases in mango leaves and provide precise irrigation to affected areas.

The project is focused on developing a cutting edge technology to assist hospitals in diagnosis of Pheneumonia patients, particularly children.

Medical Image Processing

Data Warehouse Project by Shoffiyah (140810160057) and Patricia (140810160065).

Knowledge engineering course exam project.

This real-time interface, developed with Streamlit, empowers medical practitioners and health professionals with a DSS that not only predicts anemia status but also explains the reasoning behind predictions using SHAP XAI visualizations.

FastAPI/Streamlit application for Acute Febrile Illness (AFI) diagnosis using negative disease tests, symptoms, and biomarkers.