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Computational pathology in cancer diagnosis, prognosis, and prediction - present day and prospects.
Verghese, Gregory; Lennerz, Jochen K; Ruta, Danny; Ng, Wen; Thavaraj, Selvam; Siziopikou, Kalliopi P; Naidoo, Threnesan; Rane, Swapnil; Salgado, Roberto; Pinder, Sarah E; Grigoriadis, Anita.
Afiliación
  • Verghese G; School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
  • Lennerz JK; The Breast Cancer Now Research Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
  • Ruta D; Center for Integrated Diagnostics, Department of Pathology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
  • Ng W; Guy's Cancer, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Thavaraj S; Department of Cellular Pathology, Guy's and St Thomas NHS Foundation Trust, London, UK.
  • Siziopikou KP; Head & Neck Pathology, Guy's and St Thomas NHS Foundation Trust, London, UK.
  • Naidoo T; Centre for Clinical, Oral & Translational Science, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK.
  • Rane S; Department of Pathology, Section of Breast Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Salgado R; Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha, Eastern Cape, South Africa and Africa Health Research Institute, Durban, South Africa.
  • Pinder SE; Department of Pathology, Tata Memorial Centre - ACTREC, HBNI, Navi Mumbai, India.
  • Grigoriadis A; Computational Pathology, AI & Imaging Laboratory, Tata Memorial Centre - ACTREC, HBNI, Navi Mumbai, India.
J Pathol ; 260(5): 551-563, 2023 08.
Article en En | MEDLINE | ID: mdl-37580849
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Aspecto: Ethics Límite: Humans Idioma: En Revista: J Pathol Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Aspecto: Ethics Límite: Humans Idioma: En Revista: J Pathol Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido