U -Net based on Feature Fusion for Rectal Cancer Image Segmentation
Author:
Affiliation:
1. Henan University of Science and Technology,Luoyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9750550/9750417/09750660.pdf?arnumber=9750660
Reference14 articles.
1. Technical Note: A deep learning-based autosegmentation of rectal tumors in MR images
2. Multi-scale Context Aggregation by Dilated Convolutions;yu;Proceedings of the International Conference on Learning Representations,0
3. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
4. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
5. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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