RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans

RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans

Automatic extraction of liver and tumor from CT volumes is a challenging task due to their heterogeneous and diffusive shapes. Recently, 2D deep convolutional neural networks have become popular in medical image segmentation tasks because of the utilization of large labeled datasets to learn hierarc...

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Bibliographic Details
Main Authors: Qiangguo Jin, Zhaopeng Meng, Changming Sun, Hui Cui, Ran Su
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
medical image segmentation
tumor segmentation
u-net
residual learning
attention mechanism
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2020.605132/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2020.605132/full

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