Category guided attention network for brain tumor segmentation in MRI

Category guided attention network for brain tumor segmentation in MRI

Objective. Magnetic resonance imaging (MRI) has been widely used for the analysis and diagnosis of brain diseases. Accurate and automatic brain tumor segmentation is of paramount importance for radiation treatment. However, low tissue contrast in tumor regions makes it a challenging task. Approach....

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Bibliographic Details
Main Authors:	Chen, C. (Author), Ding, M. (Author), Li, J. (Author), Yu, H. (Author), Zha, S. (Author)
Format:	Article
Language:	English
Published:	IOP Publishing Ltd 2022
Subjects:	attention mechanism Attention mechanisms Brain Brain disease brain tumor segmentation Brain tumor segmentation Computational costs deep learning Deep learning Diagnosis Feature map Long-range dependencies magnetic resonance imaging Magnetic resonance imaging Module-based Radiation treatments semantic segmentation Semantic segmentation Semantic Segmentation Semantics Tumors
Online Access:	View Fulltext in Publisher

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