Adaptive Attention Convolutional Neural Network for Liver Tumor Segmentation

Adaptive Attention Convolutional Neural Network for Liver Tumor Segmentation

PurposeAccurate segmentation of liver and liver tumors is critical for radiotherapy. Liver tumor segmentation, however, remains a difficult and relevant problem in the field of medical image processing because of the various factors like complex and variable location, size, and shape of liver tumors...

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Bibliographic Details
Main Authors: Shunyao Luan, Xudong Xue, Yi Ding, Wei Wei, Benpeng Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Oncology
Subjects:
liver tumor
automatic segmentation
attention mechanism
CT images
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.680807/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.680807/full

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