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Automatic delineation of organs at risk in non-small cell lung cancer radiotherapy based on deep learning networks

Anning Yang Na Lu Huayong Jiang Diandian Chen Yanjun Yu Yadi Wang Qiusheng Wang Fuli Zhang

肿瘤学与转化医学（英文）2022，Vol.8Issue(2)：83-88,6.

肿瘤学与转化医学（英文）2022，Vol.8Issue(2)：83-88,6.DOI:10.1007/s10330-022-0553-3

Automatic delineation of organs at risk in non-small cell lung cancer radiotherapy based on deep learning networks

Anning Yang ¹Na Lu ²Huayong Jiang ²Diandian Chen ²Yanjun Yu ²Yadi Wang ²Qiusheng Wang ¹Fuli Zhang²

作者信息

1. School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China
2. Department of Radiation Oncology,the Seventh Medical Center of Chinese PLA General Hospital,Beijing 100700,China
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摘要

关键词

non-small cell lung cancer/organs at risk/medical image segmentation/deep learning/DenseNet

Key words

non-small cell lung cancer/organs at risk/medical image segmentation/deep learning/DenseNet

引用本文复制引用

Anning Yang,Na Lu,Huayong Jiang,Diandian Chen,Yanjun Yu,Yadi Wang,Qiusheng Wang,Fuli Zhang..Automatic delineation of organs at risk in non-small cell lung cancer radiotherapy based on deep learning networks[J].肿瘤学与转化医学（英文）,2022,8(2):83-88,6.

基金项目

Supported by a grant from the Beijing Municipal Science and Technology Commission Foundation Programme(No.Z181100001718011). （No.Z181100001718011）

肿瘤学与转化医学（英文）

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ISSN：2095-9621

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