Deep learning-based auto-segmentation of clinical target volumes for radiotherapy treatment of cervical cancer.

Ma, Chen-Ying; Zhou, Ju-Ying; Xu, Xiao-Ting; Guo, Jian; Han, Miao-Fei; Gao, Yao-Zong; Du, Hui; Stahl, Johannes N; Maltz, Jonathan S

Ma, Chen-Ying; Zhou, Ju-Ying; Xu, Xiao-Ting; Guo, Jian; Han, Miao-Fei; Gao, Yao-Zong; Du, Hui; Stahl, Johannes N; Maltz, Jonathan S.

Afiliação

Ma CY; Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, China.
Zhou JY; Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, China.
Xu XT; Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, China.
Guo J; Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, China.
Han MF; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, China.
Gao YZ; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, China.
Du H; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, China.
Stahl JN; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, China.
Maltz JS; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, China.

J Appl Clin Med Phys ; 23(2): e13470, 2022 Feb.

Article em En | MEDLINE | ID: mdl-34807501

Assuntos

Aprendizado Profundo; Neoplasias do Colo do Útero; Algoritmos; Feminino; Humanos; Órgãos em Risco; Planejamento da Radioterapia Assistida por Computador; Neoplasias do Colo do Útero/diagnóstico por imagem; Neoplasias do Colo do Útero/radioterapia

Palavras-chave

artificial intelligence (AI); auto-segmentation; cervical cancer; clinical target volume (CTV); deep learning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero / Aprendizado Profundo Tipo de estudo: Etiology_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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