1. Searching for activation functions;ramachandran,2017
2. A survey on deep learning-based architectures for semantic segmentation on 2d images;ulku,2019
3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015
4. 3d u-net: learning dense volumetric segmentation from sparse annotation;çiçek;International Conference on Medical Image Computing and Computer-Assisted Intervention,2016
5. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation