JlexZzz/pytorch-U-Net
基于卷积神经网络U-Net实现生物医学影像分割，使用pytorch框架实现
This tool helps scientists and researchers automatically outline or 'segment' specific features within biomedical images, like cells or tissue structures. You provide medical scans (e.g., CT scans of soil-rock mixtures or other biological samples), and it identifies and highlights the target areas. This is ideal for specialists who need precise boundary detection in images where features are distinct but data might be scarce.
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Use this if you need to precisely segment objects in medical or scientific images, especially when dealing with limited datasets and relatively simple image semantics.
Not ideal if your images are from complex datasets like general photographic scenes (e.g., Pascal VOC) with many diverse objects, as it performs less effectively there.
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Last pushed
Sep 18, 2021
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