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Accurate tumor segmentation and treatment outcome prediction with DeepTOP.
Li, Lanlan; Xu, Bin; Zhuang, Zhuokai; Li, Juan; Hu, Yihuang; Yang, Hui; Wang, Xiaolin; Lin, Jinxin; Zhou, Ruwen; Chen, Weiwei; Ran, Dongzhi; Huang, Meijin; Wang, Dabiao; Luo, Yanxin; Yu, Huichuan.
Afiliação
  • Li L; School of Physics and Information Engineering, Fuzhou University, Fujian 35010, China.
  • Xu B; School of Physics and Information Engineering, Fuzhou University, Fujian 35010, China.
  • Zhuang Z; Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; D
  • Li J; Department of Endoscopic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China.
  • Hu Y; School of Physics and Information Engineering, Fuzhou University, Fujian 35010, China.
  • Yang H; Department of Medical Imaging Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China.
  • Wang X; Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China.
  • Lin J; Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; D
  • Zhou R; Department of Biostatistics, The Joseph L. Mailman School of Public Health, Columbia University, New York, NY 10032, United States.
  • Chen W; Department of Clinical Medicine, Guizhou Medical University, Guiyang, China; Department of Abdominal Oncology, Guizhou Province Cancer Hospital, Guiyang, China.
  • Ran D; Department of Pharmacology, College of Medicine, University of Arizona, 1501 North Campbell Drive, P.O. Box 245050, Tucson, AZ 85724, United States; Key Laboratory of Biochemistry and Molecular Pharmacology, Department of Pharmacology, Chongqing Medical University, Chongqing 400016, China.
  • Huang M; Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; D
  • Wang D; School of Mechanical Engineering and Automation, Fuzhou University, Fujian 35010, China. Electronic address: wangdb19@fzu.edu.cn.
  • Luo Y; Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; D
  • Yu H; Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; D
Radiother Oncol ; 183: 109550, 2023 06.
Article em En | MEDLINE | ID: mdl-36813177
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Processamento de Imagem Assistida por Computador Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Radiother Oncol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Processamento de Imagem Assistida por Computador Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Radiother Oncol Ano de publicação: 2023 Tipo de documento: Article