Novel histopathologic feature identified through image analysis augments stage II colorectal cancer clinical reporting.

Caie, Peter D; Zhou, Ying; Turnbull, Arran K; Oniscu, Anca; Harrison, David J

Caie, Peter D; Zhou, Ying; Turnbull, Arran K; Oniscu, Anca; Harrison, David J.

Afiliação

Caie PD; Quantitative and Digital Pathology, School of Medicine, University of St Andrews, St Andrews, KY16 9TF, UK.
Zhou Y; Digital Pathology Unit, Laboratory Medicine, Royal Infirmary of Edinburgh, Edinburgh, EH16 4SA, UK.
Turnbull AK; Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK.
Oniscu A; Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK.
Harrison DJ; Quantitative and Digital Pathology, School of Medicine, University of St Andrews, St Andrews, KY16 9TF, UK.

Oncotarget ; 7(28): 44381-44394, 2016 Jul 12.

Article em En | MEDLINE | ID: mdl-27322148

Assuntos

Neoplasias Colorretais/patologia; Idoso; Idoso de 80 Anos ou mais; Mineração de Dados; Feminino; Humanos; Masculino; Estadiamento de Neoplasias; Prognóstico; Análise de Sobrevida

Palavras-chave

big-data; data mining; digital pathology; poorly differentiated clusters; tumor buds

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais Tipo de estudo: Prognostic_studies Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: Oncotarget Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google