xmindflow/cenet
[MICCAI 2025] CENet: Context Enhancement Network for Medical Image Segmentation
CENet helps medical professionals, like radiologists or dermatologists, precisely identify and outline anatomical structures or lesions in medical images. It takes raw medical scans (e.g., cardiac MRI, abdominal CT, dermoscopy images) and outputs highly accurate segmentations, highlighting specific regions of interest. This is useful for anyone needing to analyze medical imagery for diagnosis or treatment planning.
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Use this if you need to accurately segment organs, tumors, or skin lesions from medical images with better boundary detail and robustness than current methods.
Not ideal if your task involves medical image analysis other than segmentation, or if you are not working with radiology or dermoscopy data.
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Language
Python
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Last pushed
Sep 10, 2025
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