IBBM/Cascaded-FCN
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
This project helps medical professionals automatically identify and outline livers and any lesions within axial CT images. You input a CT scan, and it outputs precise segmented images highlighting the liver and its lesions. This tool is for radiologists, oncologists, or medical researchers who analyze abdominal CT scans.
303 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately segment livers and detect lesions within abdominal CT scan images for diagnosis or research.
Not ideal if you are working with other imaging modalities besides CT, or if you need to segment organs other than the liver.
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Jupyter Notebook
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Last pushed
Dec 27, 2017
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