Clinical validation of commercial deep-learning based auto-segmentation models for organs at risk in the head and neck region: a single institution study.

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作者： Casey L,Johnson ^[1] ; Robert H,Press ^[1] ; Charles B,Simone ^[1] ; Brian,Shen ^[1] ; Pingfang,Tsai ^[1] ; Lei,Hu ^[1] ; Francis,Yu ^[1] ; Chavanon,Apinorasethkul ^[1] ; Christopher,Ackerman ^[1] ; Huifang,Zhai ^[1] ; Haibo,Lin ^[1] ; Sheng,Huang ^[2]

作者单位： New York Proton Center, New York, NY, United States. ^[1] New York Proton Center, New York, NY, United States.;National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China. ^[2]

关键词 OARs autosegmentation deep-learning head&neck cancer radiotherapy

DOI 10.3389/fonc.2024.1375096

PMID 39055552

发布时间 2024-07-27

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Frontiers in oncology

2024年14卷

1375096页

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Clinical validation of commercial deep-learning based auto-segmentation models for organs at risk in the head and neck region: a single institution study.

Frontiers in oncology

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Frontiers in oncology

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Clinical validation of commercial deep-learning based auto-segmentation models for organs at risk in the head and neck region: a single institution study.

Frontiers in oncology

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Frontiers in oncology

相关期刊

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