GitHub topics: tuberculosis-detection
V2dha/Pneumonia-and-Tuberculosis-Detection
Deep Learning Model with CNN to detect whether a person is having pneumonia or tuberculosis based on the chest x-ray images
Language: Python - Size: 235 KB - Last synced at: 22 days ago - Pushed at: almost 5 years ago - Stars: 15 - Forks: 6
Dmoayad/tuberculosis-classification-ai
Tuberculosis X-ray Classification with training a computer vision model
Language: Jupyter Notebook - Size: 41.5 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
scotthlee/hamlet
Deep learning for interpreting chest x-rays
Language: Python - Size: 87.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 11 - Forks: 4
SiddharthRajpal/HealthVision
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.
Language: Python - Size: 42 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 6 - Forks: 2
mo26-web/Chest-X-Ray-Image_Segmentation_ResUNet
Lung segmentation for chest X-Ray images with ResUNet and UNet. In addition, feature extraction and tuberculosis cases diagnosis had developed.
Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 1
NavinBondade/Identifying-The-Tuberculosis-Within-The-Chest-X-Ray
Here I have created a convolution deep neural network architecture that correctly identifies tuberculosis infected chest x-ray with an impressive accuracy of 90 percent.
Language: Jupyter Notebook - Size: 9.21 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 4
THEGURUJ1/AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit
This project uses Deep learning concept in detection of Various Deadly diseases. It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia. It uses CT-Scan and X-ray Images of chest/lung in detecting the disease. It has a Accuracy between 50%-80%. It can take input in any Image format or through Live videos and provide accurate output results.
Size: 6.27 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 5
jith4j/Tuberculosis-Classification
A CNN model that can classify X-Ray images as a Tuberculosis case or a Normal case.
Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1
Abel-Moremi/Runmila-AI-Institute-minoHealth-AI-Labs-Tuberculosis-Classification-via-X-Rays-Challenge
A machine learning model that classifies whether or not a person has Tuberculosis based on their X-Ray
Language: Jupyter Notebook - Size: 290 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
