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.
This project helps medical professionals automatically outline lung regions in chest X-ray images, speeding up diagnosis. You input a chest X-ray image, and it outputs a segmented image highlighting the lungs, along with a prediction of whether tuberculosis is present. This tool is designed for radiologists, clinicians, or medical researchers working with chest X-rays for diagnostic purposes.
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Use this if you need to quickly and accurately segment lung fields from chest X-ray images and get an initial screening for tuberculosis.
Not ideal if you require a certified medical diagnostic device, as this is a research project and not intended for primary clinical diagnosis without further validation.
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May 23, 2022
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