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A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers Using Sequencer Architecture.
Cen, Min; Li, Xingyu; Guo, Bangwei; Jonnagaddala, Jitendra; Zhang, Hong; Xu, Xu Steven.
Afiliação
  • Cen M; School of Data Science, University of Science and Technology of China, Hefei, China.
  • Li X; Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, China.
  • Guo B; School of Data Science, University of Science and Technology of China, Hefei, China.
  • Jonnagaddala J; School of Population Health, University of New South Wales, Sydney, New South Wales, Australia.
  • Zhang H; Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, China. Electronic address: zhangh@ustc.edu.cn.
  • Xu XS; Clinical Pharmacology and Quantitative Science, Genmab Inc., Princeton, New Jersey. Electronic address: sxu@genmab.com.
Am J Pathol ; 193(12): 2122-2132, 2023 12.
Article em En | MEDLINE | ID: mdl-37775043
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Biomarcadores Tumorais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Pathol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Biomarcadores Tumorais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Pathol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China