向我推荐几篇医学图像分割中比较经典的文章

U-Net: Convolutional Networks for Biomedical Image Segmentation, by Olaf Ronneberger, Philipp Fischer, and Thomas Brox, published in 2015 in the Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Fully Convolutional Networks for Semantic Segmentation, by Jonathan Long, Evan Shelhamer, and Trevor Darrell, published in 2015 in the Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation, by Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla, published in 2017 in the IEEE Transactions on Pattern Analysis and Machine Intelligence.

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs, by Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille, published in 2017 in the IEEE Transactions on Pattern Analysis and Machine Intelligence.

Mask R-CNN, by Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick, published in 2018 in the Proceedings of the IEEE International Conference on Computer Vision (ICCV)