Mondo Disease Ontology

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

AI leaf disease detection system with FastAPI + Streamlit using Llama Vision (Groq) for all diseases, severity and treatment recommendations

Multi-Label Image Classification of Chest X-Rays In Pytorch

Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.

A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.

Plants health monitoring through iot and plants disease detection using machine learning in flutter

Smart Health Predictor with Data Mining using Php, Mysql. Which can predict the disease based on Input Symptoms and Lab Sample.

Web App for Plant Disease Detection using Tensorflow and streamlit

Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 different popular classifiers are presented. With slight modifications, it can also be used for any classification problem using any set of features.

Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.

Plant Disease Detection model built with Keras and FastAPI

Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this project I am using machine learning algorithms to predict the chances of getting cancer.

[Communications Medicine] "Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning" by Gregory Holste, Evangelos Oikonomou, Bobak Mortazavi, Zhangyang Wang, and Rohan Khera

[HUAWEI 2021] 5th Place Solution to HUAWEI PRCV Challenge 2021 Alzheimer's Disease Classification Task

Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification

[TMI 2025] Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation

A Disease-Symptoms Network and a system that predicts diseases from symptoms using a decision tree classifier.

AI-powered plant disease detection system using deep learning. Upload plant images to instantly identify 30+ diseases across Apple, Corn, Grape, Potato, Tomato & more crops. Built with FastAPI + React TypeScript. Ready for cloud deployment.

An expert system for diagnosis of respiratory diseases, including the infamous COVID-19.