PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)

Sparrow AI - API for disease diagnostics

Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.

Medical Diagnostic Module Programmed with Python and using Fuzzy Logic

A medical diagnosis system

Medical Diagnosis system using Prolog

Machine learning models for detection of diseases.

Quick Android app for medical diagnosis, currently just using Endless Medical API

Egészségügyi szűrőprogramok, orvosi tesztek eredményességének vizsgálata.

Perform partial verification bias correction for estimates of accuracy measures in diagnostic accuracy studies

AI-driven heart disease prediction model using machine learning for early diagnosis.

ML for stroke prediction, Intelligent Systems course (3rd year, 2nd semester)

CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. 🩺✨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. 🚀

ML for early diagnosis of Alzheimer's disease. Results and jupyter notebook published on GitHub pages.

AI-driven disease prediction model based on symptoms using machine learning.

This repository features cutting-edge machine learning applications in healthcare, addressing diverse challenges such as dermatological lesion detection, ECG signal categorization, gland segmentation in colorectal cancer, pathological myopia prediction, and pneumothorax identification.

CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. 🩺✨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. 🚀

Breast cancer detection using Convolutional Neural Nets (CNNs)

ML for MRI image classification, Intelligent Systems course (3rd year, 2nd semester)

Machine Learning Modeling for Diabetes Screening and Diagnostics