Boundary-aware context neural network for medical image segmentation

•Propose a boundary-aware context neural network for 2D medical image segmentation.•The pyramid edge extraction module aggregates edge information with multigranularity.•The multi-task learning module enriches the context by the different task branches.•The cross feature fusion module aims to select...

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Veröffentlicht in:	Medical image analysis Jg. 78; S. 102395
Hauptverfasser:	Wang, Ruxin, Chen, Shuyuan, Ji, Chaojie, Fan, Jianping, Li, Ye
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.05.2022 Elsevier BV
Schlagworte:	Artificial neural networks Boundaries Coders Complementarity Context Convolutional neural network Deep learning Encoders-Decoders Feature extraction Feature maps Humans Image processing Image Processing, Computer-Assisted - methods Image Processing, Computer-Assisted - standards Image segmentation Learning Masks Medical image segmentation Medical imaging Modules Neural networks Neural Networks, Computer Production methods Spatial data Deep learning Convolutional neural network Medical image segmentation
ISSN:	1361-8415, 1361-8423, 1361-8423
Online-Zugang:	Volltext
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