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Understanding metric-related pitfalls in image analysis validation
A. Reinke, MD. Tizabi, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, AE. Kavur, T. Rädsch, CH. Sudre, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, F. Buettner, MJ. Cardoso, V. Cheplygina, J. Chen, E. Christodoulou, BA. Cimini, K....
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, přehledy
Grantová podpora
P41 GM135019
NIGMS NIH HHS - United States
NLK
ProQuest Central
od 2020-01-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 2020-01-01 do Před 1 rokem
- MeSH
- umělá inteligence * MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image analysis, metrics are often chosen inadequately. Although taking into account the individual strengths, weaknesses and limitations of validation metrics is a critical prerequisite to making educated choices, the relevant knowledge is currently scattered and poorly accessible to individual researchers. Based on a multistage Delphi process conducted by a multidisciplinary expert consortium as well as extensive community feedback, the present work provides a reliable and comprehensive common point of access to information on pitfalls related to validation metrics in image analysis. Although focused on biomedical image analysis, the addressed pitfalls generalize across application domains and are categorized according to a newly created, domain-agnostic taxonomy. The work serves to enhance global comprehension of a key topic in image analysis validation.
Allen Institute for Cell Science Seattle WA USA
ARTORG Center for Biomedical Engineering Research University of Bern Bern Switzerland
Cell Biology and Biophysics Unit European Molecular Biology Laboratory Heidelberg Germany
Center for Biomedical Image Computing and Analytics University of Pennsylvania Philadelphia PA USA
Centre for Intelligent Machines and MILA McGill University Montréal Quebec Canada
Centre for Medical Image Computing University College London London UK
Department AIBE Friedrich Alexander Universität Erlangen Nürnberg Germany
Department of Biomedical Data Sciences Leiden University Medical Center Leiden the Netherlands
Department of Biomedical Informatics Stony Brook University Health Science Center Stony Brook NY USA
Department of Computer Science IT University of Copenhagen Copenhagen Denmark
Department of Computer Science University of Toronto Toronto Ontario Canada
Department of Computing Faculty of Engineering Imperial College London London UK
Department of Computing Imperial College London South Kensington Campus London UK
Department of Development and Regeneration and EPI centre KU Leuven Leuven Belgium
Department of Digital Medical Technologies Holon Institute of Technology Holon Israel
Department of Medical Biophysics University of Toronto Toronto Ontario Canada
Department of Pathology Radboud University Medical Center Nijmegen the Netherlands
Department of Quantitative Biomedicine University of Zurich Zurich Switzerland
Department of Radiation Oncology University Hospital Bern University of Bern Bern Switzerland
Department of Surgery Perelman School of Medicine Philadelphia PA USA
Department of Surgery University Health Network Philadelphia PA USA
Electrical Engineering Vanderbilt University Nashville TN USA
European Federation for Medical Informatics Le Mont sur Lausanne Switzerland
Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany
Faculty of Medicine Heidelberg University Hospital Heidelberg Germany
Frankfurt Cancer Insititute Frankfurt am Main Germany
Fraunhofer MEVIS Bremen Germany
German Cancer Research Center Heidelberg Division of Biostatistics Heidelberg Germany
German Cancer Research Center Heidelberg Division of Intelligent Medical Systems Heidelberg Germany
German Cancer Research Center Heidelberg Division of Medical Image Computing Heidelberg Germany
German Cancer Research Center Heidelberg Heidelberg Germany
German Cancer Research Center Heidelberg HI Applied Computer Vision Lab Heidelberg Germany
German Cancer Research Center Heidelberg HI Helmholtz Imaging Heidelberg Germany
German Cancer Research Center Heidelberg Interactive Machine Learning Group Heidelberg Germany
Goethe University Frankfurt Department of Informatics Frankfurt am Main Germany
Goethe University Frankfurt Department of Medicine Frankfurt am Main Germany
Google Health Google Palo Alto CA USA
Helmholtz AI Oberschleißheim Germany
IHU Strasbourg Strasbourg France
Imaging Platform Broad Institute of MIT and Harvard Cambridge MA USA
Informatics Institute Faculty of Science University of Amsterdam Amsterdam the Netherlands
Information Systems Institute University of Applied Sciences Western Switzerland Sierre Switzerland
Institute for Computational Biomedicine Heidelberg University Heidelberg Germany
Institute of Information Systems Engineering TU Wien Vienna Austria
Instituto de Cálculo CONICET Universidad de Buenos Aires Buenos Aires Argentina
Laboratoire Traitement du Signal et de l'Image UMR_S 1099 Université de Rennes 1 Rennes France
Leibniz Institut für Analytische Wissenschaften ISAS e 5 Dortmund Germany
Medical Faculty University of Geneva Geneva Switzerland
National Institute of Allergy and Infectious Diseases Bethesda MD USA
National Institutes of Health Clinical Center Bethesda MD USA
Neurocenter Oulu Oulu University Hospital Oulu Finland
Parietal project team INRIA Saclay Île de France Palaiseau France
Physical Sciences Sunnybrook Research Institute Toronto Ontario Canada
Princess Margaret Cancer Centre University Health Network Toronto Ontario Canada
Radboud Institute for Health Sciences Radboud University Medical Center Nijmegen the Netherlands
Research Unit of Health Sciences and Technology Faculty of Medicine University of Oulu Oulu Finland
School of Biomedical Engineering and Imaging Science King's College London London UK
School of Engineering The University of Edinburgh Edinburgh Scotland
Simula Metropolitan Center for Digital Engineering Oslo Norway
Tissue Image Analytics Laboratory Department of Computer Science University of Warwick Coventry UK
Translational Image guided Oncology University Medicine Essen Essen Germany
UiT The Arctic University of Norway Tromsø Norway
Universitat Pompeu Fabra Barcelona Spain
University of Adelaide Adelaide South Australia Australia
University of Potsdam Digital Engineering Faculty Potsdam Germany
Vector Institute for Artificial Intelligence Toronto Ontario Canada
Citace poskytuje Crossref.org
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