Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.

Gurcan, Metin N; Tomaszewski, John; Overton, James A; Doyle, Scott; Ruttenberg, Alan; Smith, Barry

Gurcan, Metin N; Tomaszewski, John; Overton, James A; Doyle, Scott; Ruttenberg, Alan; Smith, Barry.

Afiliação

Gurcan MN; Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA. Electronic address: metin.gurcan@osumc.edu.
Tomaszewski J; Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, NY 14214, USA.
Overton JA; Knocean Inc., Toronto, Ontario M6P 2T3, Canada.
Doyle S; Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, NY 14214, USA.
Ruttenberg A; School of Dental Medicine, University at Buffalo, Buffalo NY, 14214, USA.
Smith B; Department of Philosophy, University at Buffalo, Buffalo, NY 14260, USA.

J Biomed Inform ; 66: 129-135, 2017 02.

Article em En | MEDLINE | ID: mdl-28003147

Assuntos

Ontologias Biológicas; Histologia; Humanos; Patologia; Reprodutibilidade dos Testes

Palavras-chave

Breast cancer; Histopathology imaging; Hot spot; Image analysis; Ontology

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ontologias Biológicas Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article

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