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 ...

Paper Title: V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. Authors: Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi. Details: 3DV 2016 . This paper ...