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GitHub / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mo26-web%2FChest-X-Ray-Image_Segmentation_ResUNet

Stars: 9
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 13.7 MB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: almost 2 years ago
Pushed at: almost 3 years ago
Last synced at: almost 2 years ago

Topics: chest-xray-images, deep-learning, feature-extraction, inception-resnet-v2, lung-disease, lung-segmentation, medical-image-processing, residual-networks, residual-u-net, residual-unet, resnet-50, resunet, segmentation, segnet, tuberculosis-classification, tuberculosis-detection, u-net, unet, unet-image-segmentation, vgg16

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