Multi-modality self-attention aware deep network for 3D biomedical segmentation

Multi-modality self-attention aware deep network for 3D biomedical segmentation

Abstract Background Deep learning based on segmentation models have been gradually applied in biomedical images and achieved state-of-the-art performance for 3D biomedical segmentation. However, most of existing biomedical segmentation researches take account of the application cases with adapting a...

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Bibliographic Details
Main Authors: Xibin Jia, Yunfeng Liu, Zhenghan Yang, Dawei Yang
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Multi-modal fusion
Attention mechanism
3D biomedical segmentation
Online Access:http://link.springer.com/article/10.1186/s12911-020-1109-0

Internet

http://link.springer.com/article/10.1186/s12911-020-1109-0

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