Convolution-Free Medical Image Segmentation using Transformers

26 Feb 2021 Davood Karimi Serge Vasylechko Ali Gholipour

Like other applications in computer vision, medical image segmentation has been most successfully addressed using deep learning models that rely on the convolution operation as their main building block. Convolutions enjoy important properties such as sparse interactions, weight sharing, and translation equivariance... (read more)

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