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Artificial Intelligence for Predicting Microsatellite Instability Based on Tumor Histomorphology: A Systematic Review.
Park, Ji Hyun; Kim, Eun Young; Luchini, Claudio; Eccher, Albino; Tizaoui, Kalthoum; Shin, Jae Il; Lim, Beom Jin.
Afiliação
  • Park JH; Department of Pathology, Yonsei University College of Medicine, Seoul 03722, Korea.
  • Kim EY; Evidence-Based and Clinical Research Laboratory, Department of Health, Social and Clinical Pharmacy, College of Pharmacy, Chung-Ang University, Seoul 06974, Korea.
  • Luchini C; Department of Diagnostics and Public Health, Section of Pathology, University of Verona, 37134 Verona, Italy.
  • Eccher A; ARC-Net Research Center, University and Hospital Trust of Verona, 37134 Verona, Italy.
  • Tizaoui K; Department of Pathology and Diagnostics, University and Hospital Trust of Verona, 37134 Verona, Italy.
  • Shin JI; Laboratory of Microorganisms and Active Biomolecules, Sciences Faculty of Tunis, Tunis El Manar University, Tunis 2092, Tunisia.
  • Lim BJ; Department of Pediatrics, Yonsei University College of Medicine, Seoul 03722, Korea.
Int J Mol Sci ; 23(5)2022 Feb 23.
Article em En | MEDLINE | ID: mdl-35269607
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Neoplasias do Endométrio Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Neoplasias do Endométrio Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article