Glioma Image Segmentation Method on Fully Convolutional Neural Network
Author:
Affiliation:
1. Biomedical Engineering College, Sichuan University, China
2. School of Mathematical and Computational Sciences, University of Prince Edward Island, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3484424.3484432
Reference19 articles.
1. Fully Convolutional Networks for Semantic Segmentation [J];Long J;IEEE Transactions on Pattern Analysis and Machine Intelligence,2015
2. Shen H C Zhang J G and Zheng W S.2017b.Efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation //Proceedings of 2017 IEEE International Conference on Image Processing.Beijing China: IEEE: 3864-3868. Shen H C Zhang J G and Zheng W S.2017b.Efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation //Proceedings of 2017 IEEE International Conference on Image Processing.Beijing China: IEEE: 3864-3868.
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