Paper Summary: U-Net: Convolutional Networks for Biomedical Image Segmentation, MICCAI 2015 Olaf Ronneberger, Philipp Fischer, and Thomas Brox [DOI] In this paper, the authors proposed a fully ...

U-Net, a fully convolutional network segmentation model that has been widely used in medical image segmentation since it was first developed in 2015. In the new training scheme, the CNN is first ...

This paper proposes an end-to-end trained fully convolutional neural network model to process ... This is done by applying the softmax function voxel-wise. Similar to U-Net, the features extracted ...