Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks

doi:10.1002/mp.13147

Title: Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks

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Authors:

Tong, Nuo ^[1]; Gou, Shuiping ^[2]; Yang, Shuyuan ^[2]; Ruan, Dan ^[3]; Sheng, Ke ^[3]

Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an Shaanxi 710071 China, Department of Radiation Oncology, University of California-Los Angeles, Los Angeles CA 90095 USA
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an Shaanxi 710071 China
Department of Radiation Oncology, University of California-Los Angeles, Los Angeles CA 90095 USA

Publication Date:: 2018-09-19

Sponsoring Org.:: USDOE

OSTI Identifier:: 1472187

Grant/Contract Number:: SC0017057; SC0017687

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Medical Physics

Additional Journal Information:: Journal Name: Medical Physics Journal Volume: 45 Journal Issue: 10; Journal ID: ISSN 0094-2405

Publisher:: Wiley Blackwell (John Wiley & Sons)

Country of Publication:: United States

Language:: English

Citation Formats


                    Tong, Nuo, Gou, Shuiping, Yang, Shuyuan, Ruan, Dan, and Sheng, Ke. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.  United States: N. p., 2018. 
        Web.  doi:10.1002/mp.13147.

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                    Tong, Nuo, Gou, Shuiping, Yang, Shuyuan, Ruan, Dan, & Sheng, Ke. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.  United States.  doi:10.1002/mp.13147.

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                    Tong, Nuo, Gou, Shuiping, Yang, Shuyuan, Ruan, Dan, and Sheng, Ke. Wed .  
        "Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks".  United States.  doi:10.1002/mp.13147.

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@article{osti_1472187,

  title        = {Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks},

  author       = {Tong, Nuo and Gou, Shuiping and Yang, Shuyuan and Ruan, Dan and Sheng, Ke},

  abstractNote = {},

  doi          = {10.1002/mp.13147},

  journal      = {Medical Physics},

  number       = 10,

  volume       = 45,

  place        = {United States},

  year         = {2018},

  month        = {9}

}

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DOI: 10.1002/mp.13147

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