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A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma.
Zadeh Shirazi, Amin; McDonnell, Mark D; Fornaciari, Eric; Bagherian, Narjes Sadat; Scheer, Kaitlin G; Samuel, Michael S; Yaghoobi, Mahdi; Ormsby, Rebecca J; Poonnoose, Santosh; Tumes, Damon J; Gomez, Guillermo A.
Afiliación
  • Zadeh Shirazi A; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, Australia.
  • McDonnell MD; Computational Learning Systems Laboratory, UniSA STEM, University of South Australia, Mawson Lakes, SA, Australia.
  • Fornaciari E; Computational Learning Systems Laboratory, UniSA STEM, University of South Australia, Mawson Lakes, SA, Australia.
  • Bagherian NS; Department of Mathematics of Computation, University of California, Los Angeles (UCLA), CA, USA.
  • Scheer KG; Mashhad University of Medical Sciences, Mashhad, Iran.
  • Samuel MS; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, Australia.
  • Yaghoobi M; Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, Australia.
  • Ormsby RJ; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
  • Poonnoose S; Electrical and Computer Engineering Department, Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran.
  • Tumes DJ; Flinders Health and Medical Research Institute, College of Medicine & Public Health, Flinders University, Adelaide, SA, Australia.
  • Gomez GA; Flinders Health and Medical Research Institute, College of Medicine & Public Health, Flinders University, Adelaide, SA, Australia.
Br J Cancer ; 125(3): 337-350, 2021 08.
Article en En | MEDLINE | ID: mdl-33927352
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Interpretación de Imagen Radiográfica Asistida por Computador / Glioblastoma / Perfilación de la Expresión Génica / Redes Reguladoras de Genes Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Br J Cancer Año: 2021 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Interpretación de Imagen Radiográfica Asistida por Computador / Glioblastoma / Perfilación de la Expresión Génica / Redes Reguladoras de Genes Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Br J Cancer Año: 2021 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido