eduujspeng/Deform_Adaptive_UNet
Deform adaptive UNet for medical image segmentaion
This project helps medical professionals accurately identify and outline abnormalities or specific regions within medical images like MRI scans or microscopy images. You feed it medical images, and it outputs precise segmented images highlighting the areas of interest, such as tumors or cell structures. It's designed for radiologists, pathologists, or researchers who need precise boundary detection in their medical imaging analysis.
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Use this if you need to precisely segment and delineate specific regions (like tumors or cells) in medical images to aid in diagnosis or research.
Not ideal if you're looking for a general-purpose image classification tool or if your primary goal isn't medical image segmentation.
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Jan 13, 2024
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