AttR2U-Net: A Fully Automated Model for MRI Nasopharyngeal Carcinoma Segmentation Based on Spatial Attention and Residual Recurrent Convolution

AttR2U-Net: A Fully Automated Model for MRI Nasopharyngeal Carcinoma Segmentation Based on Spatial Attention and Residual Recurrent Convolution

Radiotherapy is an essential method for treating nasopharyngeal carcinoma (NPC), and the segmentation of NPC is a crucial process affecting the treatment. However, manual segmentation of NPC is inefficient. Besides, the segmentation results of different doctors might vary considerably. To improve th...

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Bibliographic Details
Main Authors: Jiajing Zhang, Lin Gu, Guanghui Han, Xiujian Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Oncology
Subjects:
nasopharyngeal carcinoma
tumor segmentation
deep learning
spatial attention
recurrent convolution
residual connection
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.816672/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.816672/full

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