Abstract: Weakly-supervised learning methods have become increasingly attractive for medical image segmentation, but suffered from a high dependence on quantifying the pixel-wise affinities of ...
Besides trying to make the content easy to follow, here summarizes the uniqueness of this book: (1) it offers Python source code that is tailored to be simple so that it would be natural for you to ...
Abstract: Computed tomography (CT) is extensively used for accurate visualization and segmentation of organs and lesions. While deep learning models such as convolutional neural networks (CNNs) and ...
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