Semantic segmentation of brain tumor with nested residual attention networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09840-3.pdf
Reference44 articles.
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3. Chandra S, Vakalopoulou M, Fidon L, Battistella E, Estienne T, Sun R, Robert C, Deutsch E, Paragios N (2018) Context aware 3d cnns for brain tumor segmentation. In: International MICCAI brainlesion workshop. Springer, New York, pp 299–310
4. Chen X, Hao Liew J, Xiong W, Chui CK, Ong SH (2018) Focus, segment and erase: an efficient network for multi-label brain tumor segmentation. In: Proceedings of the european conference on computer vision (ECCV), pp 654–669
5. El-Melegy MT, Mokhtar HM (2014) Tumor segmentation in brain mri using a fuzzy approach with class center priors. EURASIP J Image Video Process 2014(1):21
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