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Clinical evaluation of deep learning-based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer.
Ma, Chen-Ying; Zhou, Ju-Ying; Xu, Xiao-Ting; Qin, Song-Bing; Han, Miao-Fei; Cao, Xiao-Huan; Gao, Yao-Zong; Xu, Lu; Zhou, Jing-Jie; Zhang, Wei; Jia, Le-Cheng.
Afiliación
  • Ma CY; Department of Radiation Oncology, 1st Affiliated Hospital of Soochow University, No. 188 Shizi Street, Suzhou, 215123, China.
  • Zhou JY; Department of Radiation Oncology, 1st Affiliated Hospital of Soochow University, No. 188 Shizi Street, Suzhou, 215123, China. zhoujuyingsy@163.com.
  • Xu XT; Department of Radiation Oncology, 1st Affiliated Hospital of Soochow University, No. 188 Shizi Street, Suzhou, 215123, China.
  • Qin SB; Department of Radiation Oncology, 1st Affiliated Hospital of Soochow University, No. 188 Shizi Street, Suzhou, 215123, China.
  • Han MF; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, 201807, China.
  • Cao XH; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, 201807, China.
  • Gao YZ; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, 201807, China.
  • Xu L; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, 201807, China.
  • Zhou JJ; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, 201807, China.
  • Zhang W; Shanghai United Imaging Healthcare, Co. Ltd., Jiading, 201807, China.
  • Jia LC; United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, 518045, China.
BMC Med Imaging ; 22(1): 123, 2022 07 09.
Article en En | MEDLINE | ID: mdl-35810273
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias del Cuello Uterino / Aprendizaje Profundo Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: BMC Med Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias del Cuello Uterino / Aprendizaje Profundo Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: BMC Med Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article