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Deep learning-derived spatial organization features on histology images predicts prognosis in colorectal liver metastasis patients after hepatectomy.
Qi, Lin; Liang, Jie-Ying; Li, Zhong-Wu; Xi, Shao-Yan; Lai, Yu-Ni; Gao, Feng; Zhang, Xian-Rui; Wang, De-Shen; Hu, Ming-Tao; Cao, Yi; Xu, Li-Jian; Chan, Ronald C K; Xing, Bao-Cai; Wang, Xin; Li, Yu-Hong.
Afiliação
  • Qi L; Department of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Liang JY; Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
  • Li ZW; Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China.
  • Xi SY; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
  • Lai YN; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Gao F; Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Zhang XR; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, China.
  • Wang DS; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Hu MT; Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Cao Y; Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
  • Xu LJ; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Chan RCK; Department of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Xing BC; Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
  • Wang X; Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China.
  • Li YH; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
iScience ; 26(10): 107702, 2023 Oct 20.
Article em En | MEDLINE | ID: mdl-37701575
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: IScience Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: IScience Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos