uw-loci/collagen-fiber-metrics
Deep generative models for collagen fiber centerline segmentation and extraction in cancer tissue
This project helps medical researchers and pathologists analyze collagen fibers in cancer tissue images. It takes raw microscopy images of tissue samples and automatically identifies and extracts the centerlines of individual collagen fibers. This allows researchers to quantify properties like fiber length, orientation, and density, providing insights into the tumor microenvironment.
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Use this if you need to accurately extract and quantify collagen fiber characteristics from medical microscopy images to support your research into diseases like cancer.
Not ideal if your primary goal is general image segmentation or if you are working with tissue types that do not contain collagen fibers, as it is specialized for this specific task.
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Last pushed
Feb 05, 2025
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