Lung segmentation for chest X-Ray images with ResUNet and UNet. In addition, feature extraction and tuberculosis cases diagnosis had developed.

This repository contains tuberculosis classification on Chest X-ray using transfer learning in pytorch

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.

Nextflow Wrapper for TBProfiler

Tuberculosis X-ray Classification

This is a Machine Learning and Deep Learning project that can predict the chances of getting diseases like Heart_Failure, Diabetes, Malaria and Tuberculosis.

Developing a Tuberculosis Detection Application for the Omdena Myanmar Chapter

This project is a Flask web application that integrates with TensorFlow a CNN model to be able to give predictions of two classes: "Normal" and "Tuberculosis". The user can upload their photo to be able to process it and also have a contrast enhancement filter applied with CLAHE.

Masters Project: Logistic Regression Analysis, Comparing the Completion of Latent Tuberculosis Therapy of HIV-Coinfected Individuals and Other Chronic High Risk Groups

Chest X-Rays Image Classification project from the course Applied AI in Biomedicine @ Politecnico di Milano

SDAIA's AI Bootcamp project. Tuberculosis detection.