Your browser doesn't support javascript.
loading
Machine-Learning-Based Evaluation of Intratumoral Heterogeneity and Tumor-Stroma Interface for Clinical Guidance.
Laurinavicius, Arvydas; Rasmusson, Allan; Plancoulaine, Benoit; Shribak, Michael; Levenson, Richard.
Afiliação
  • Laurinavicius A; Department of Pathology, Forensic Medicine and Pharmacology, Institute of Biomedical Sciences of the Faculty of Medicine of Vilnius University, Vilnius, Lithuania; National Center of Pathology, Affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania. Electronic address: arvyda
  • Rasmusson A; Department of Pathology, Forensic Medicine and Pharmacology, Institute of Biomedical Sciences of the Faculty of Medicine of Vilnius University, Vilnius, Lithuania; National Center of Pathology, Affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
  • Plancoulaine B; Department of Pathology, Forensic Medicine and Pharmacology, Institute of Biomedical Sciences of the Faculty of Medicine of Vilnius University, Vilnius, Lithuania; ANTICIPE, Inserm (UMR 1086), Cancer Center F. Baclesse, Normandy University, Caen, France.
  • Shribak M; Department of Pathology, Forensic Medicine and Pharmacology, Institute of Biomedical Sciences of the Faculty of Medicine of Vilnius University, Vilnius, Lithuania; Marine Biological Laboratory of University of Chicago, Woods Hole, Massachusetts.
  • Levenson R; Department of Pathology, Forensic Medicine and Pharmacology, Institute of Biomedical Sciences of the Faculty of Medicine of Vilnius University, Vilnius, Lithuania; Department of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, California.
Am J Pathol ; 191(10): 1724-1731, 2021 10.
Article em En | MEDLINE | ID: mdl-33895120

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Guias de Prática Clínica como Assunto / Aprendizado de Máquina / Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Am J Pathol Ano de publicação: 2021 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Guias de Prática Clínica como Assunto / Aprendizado de Máquina / Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Am J Pathol Ano de publicação: 2021 Tipo de documento: Article País de publicação: Estados Unidos