Multi-Modality Brain Tumor Segmentation Network Based on Collaborative Feature Fusion

Author:

Zhao Changchen1,Liu Kai2,Chen Weihai1,Pei Zhongcai1,Feng Yuanjing2

Affiliation:

1. Beihang University,Hangzhou Innovation Institute,Hangzhou,China,310053

2. Zhejiang University of Technology,School of Information Engineering,Hangzhou,China,310023

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

IEEE

Reference30 articles.

1. Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR

2. Brain Tumor Detection and Segmentation Using Conditional Random Field

3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention,2015

4. Fully convolutional networks for semantic segmentation

5. Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features;bakas;Nature Journal Scientific Data 1,2017

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