SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation

21 Jan 2020Jesse SunFatemeh DarbehaMark ZaidiBo Wang

Medical image segmentation is a difficult but important task for many clinical operations such as cardiac bi-ventricular volume estimation. More recently, there has been a shift to utilizing deep learning and fully convolutional neural networks (CNNs) to perform image segmentation that has yielded state-of-the-art results in many public benchmark datasets... (read more)

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