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Constrained multiple instance learning for ulcerative colitis prediction using histological images.
Del Amor, Rocío; Meseguer, Pablo; Parigi, Tommaso Lorenzo; Villanacci, Vincenzo; Colomer, Adrián; Launet, Laëtitia; Bazarova, Alina; Tontini, Gian Eugenio; Bisschops, Raf; de Hertogh, Gert; Ferraz, Jose G; Götz, Martin; Gui, Xianyong; Hayee, Bu'Hussain; Lazarev, Mark; Panaccione, Remo; Parra-Blanco, Adolfo; Bhandari, Pradeep; Pastorelli, Luca; Rath, Timo; Røyset, Elin Synnøve; Vieth, Michael; Zardo, Davide; Grisan, Enrico; Ghosh, Subrata; Iacucci, Marietta; Naranjo, Valery.
Afiliación
  • Del Amor R; Instituto de Investigación e Innovación en Bioingeniería, Universitat Politécnica de Valéncia, Valencia, Spain. Electronic address: madeam2@upvnet.upv.es.
  • Meseguer P; Instituto de Investigación e Innovación en Bioingeniería, Universitat Politécnica de Valéncia, Valencia, Spain.
  • Parigi TL; Department of Biomedical Sciences, Humanitas University, Milan, Italy; University of Birmingham, Immunology and Immunotherapy, Birmingham, United Kingdom.
  • Villanacci V; Institute of Pathology, ASST Spedali Civili, University of Brescia, Brescia, Italy.
  • Colomer A; Instituto de Investigación e Innovación en Bioingeniería, Universitat Politécnica de Valéncia, Valencia, Spain.
  • Launet L; Instituto de Investigación e Innovación en Bioingeniería, Universitat Politécnica de Valéncia, Valencia, Spain.
  • Bazarova A; Institute for Biological Physics, University of Cologne, Cologne, Germany.
  • Tontini GE; Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
  • Bisschops R; Division of Gastroenterology, University Hospitals Leuven, Leuven, Belgium.
  • de Hertogh G; Division of Gastroenterology, University Hospitals Leuven, Leuven, Belgium.
  • Ferraz JG; Division of Gastroenterology, University of Calgary Cumming School of Medicine, Calgary, Canada.
  • Götz M; Division of Gastroenterology, Klinikum, Böblingen, Germany.
  • Gui X; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, USA.
  • Hayee B; Division of Gastroenterology, Kings College London, London, United Kingdom.
  • Lazarev M; Division of Gastroenterology, Johns Hopkins Hospital, Baltimore, United States.
  • Panaccione R; Division of Gastroenterology, University of Calgary Cumming School of Medicine, Calgary, Canada.
  • Parra-Blanco A; Division of Gastroenterology, University of Nottingham, Nottingham, United Kingdom.
  • Bhandari P; Division of Gastroenterology, Queen Alexandra Hospital, Portsmouth, United Kingdom.
  • Pastorelli L; Liver and Gastroenterology Unit, Universita' degli Studi di Milano, ASST Santi Paolo E Carlo, University Hospital San Paolo, Milan, Italy.
  • Rath T; Division of Gastroenterology, University of Erlangen, Erlangen, Germany.
  • Røyset ES; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
  • Vieth M; Klinikum Bayreuth, Bayreuth, Germany; Institute of Pathology, Friedrich-Alexander-University Erlangen-Nuremberg, Nuremberg, Germany.
  • Zardo D; Department of Pathology, San Bortolo Hospital, Vicenza, Italy.
  • Grisan E; Department of Information Engineering, Padova, Italy; School of Engineering, London South Bank University, London, UK.
  • Ghosh S; APC Microbiome Ireland, College of Medicine and Health, Cork, Ireland; Institute for Biological Physics, University of Cologne, Cologne, Germany.
  • Iacucci M; Department of Biomedical Sciences, Humanitas University, Milan, Italy; National Institute for Health Research (NIHR) Biomedical Research Centre, Birmingham, United Kingdom; Department of Gastroenterology, University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom.
  • Naranjo V; Instituto de Investigación e Innovación en Bioingeniería, Universitat Politécnica de Valéncia, Valencia, Spain.
Comput Methods Programs Biomed ; 224: 107012, 2022 Sep.
Article en En | MEDLINE | ID: mdl-35843078
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Colitis Ulcerosa Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Colitis Ulcerosa Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article