Automatic segmentation of lung tumors on CT images based on a 2D & 3D hybrid convolutional neural network

A stable and accurate automatic tumor delineation method has been developed to facilitate the intelligent design of lung cancer radiotherapy process. The purpose of this paper is to introduce an automatic tumor segmentation network for lung cancer on CT images based on deep learning. In this paper,...

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Veröffentlicht in:	British journal of radiology Jg. 94; H. 1126; S. 20210038
Hauptverfasser:	Gan, Wutian, Wang, Hao, Gu, Hengle, Duan, Yanhua, Shao, Yan, Chen, Hua, Feng, Aihui, Huang, Ying, Fu, Xiaolong, Ying, Yanchen, Quan, Hong, Xu, Zhiyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England The British Institute of Radiology 01.10.2021
Schlagworte:	Humans Imaging, Three-Dimensional Lung Neoplasms - diagnostic imaging Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted - methods Tomography, X-Ray Computed
ISSN:	0007-1285, 1748-880X, 1748-880X
Online-Zugang:	Volltext
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