rezazad68/TMUnet
Contextual Attention Network: Transformer Meets U-Net
This project helps medical professionals, researchers, and anyone working with medical imagery to precisely identify and outline specific structures or anomalies within images. You input medical images, such as dermatoscopy photos of skin lesions or microscope images of cells, and it outputs segmented images that highlight the areas of interest, like a skin lesion or individual myeloma cells. This is ideal for medical image analysis in dermatology, pathology, or cancer research.
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Use this if you need highly accurate segmentation of medical images, especially for tasks like identifying skin lesions or individual cells, and have access to or are comfortable with Python and PyTorch.
Not ideal if you are looking for a plug-and-play tool without any coding, or if your primary focus is on segmentation of non-medical images.
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Last pushed
Mar 29, 2022
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