GitHub topics: tuberculosis-classification

Repositories

Dmoayad/tuberculosis-classification-ai

Tuberculosis X-ray Classification with training a computer vision model

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bheemisme/tuberculosis

tuberculosis detection using deep learning

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BCCDC-PHL/tbprofiler-nf

Nextflow Wrapper for TBProfiler

Language: Python - Size: 5.17 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 2

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

nima-kam/Tuberculosis_detection_CXR_PyTorch

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

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jdcarvajalc/Pulmonary-tuberculosis-screening

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.

Language: CSS - Size: 53.9 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

MattiaCazzolla/Applied-AI-project Fork of stevanna98/Chest-X-Rays-Image-Classification

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

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datascisteven/Omdena-Tuberculosis-Image-Classification-Project

Developing a Tuberculosis Detection Application for the Omdena Myanmar Chapter

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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.

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IkChristine/Logistic-Regression-Analysis---Completion-of-LTBI-Therapy-Among-Co-infected-High-Risk-Groups

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

Size: 73.2 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0