Profiling tool for Mycobacterium tuberculosis to detect ressistance and strain type from WGS data

Deep Learning Model with CNN to detect whether a person is having pneumonia or tuberculosis based on the chest x-ray images

Tuberculosis Detection by Deep Learning

(Master's Thesis) Description of a continual adaption system for the detection of Mycobacterial Tuberculosis on Sputum image using computer vision techniques.

Computer vision program to identify tuberculosis organisms on microscopic imaging of sputum samples treated with an Acid-Fast Bacteria Stain such as Ziehl-Neelsen Stain.

🔥基于PaddleDetection的医疗显微图像-结核杆菌识别

Deep Learning models were developed using neural networks and homogeneous ensemble techniques that detects the presence of TB bacteria from the sputum smear images.

INT400_Project : Deep Learning, Classify TB Sputum Smear Images

Classification for chest X ray images of tuberculosis using PyTorch, Timm, and modified EfficientNet family. This repo is implemented to our paper Detection of tuberculosis from chest X-ray images:…