BIAS: Transparent reporting of biomedical image analysis challenges
In: ISSN: 1361-8415, 2020
Online
academicJournal
Zugriff:
International audience ; The number of biomedical image analysis challenges organized per year is steadily increasing. These international competitions have the purpose of benchmarking algorithms on common data sets, typically to identify the best method for a given problem. Recent research, however, revealed that common practice related to challenge reporting does not allow for adequate interpretation and reproducibility of results. To address the discrepancy between the impact of challenges and the quality (control), the Biomedical Image Analysis ChallengeS (BIAS) initiative developed a set of recommendations for the reporting of challenges. The BIAS statement aims to improve the transparency of the reporting of a biomedical image analysis challenge regardless of field of application, image modality or task category assessed. This article describes how the BIAS statement was developed and presents a checklist which authors of biomedical image analysis challenges are encouraged to include in their submission when giving a paper on a challenge into review. The purpose of the checklist is to standardize and facilitate the review process and raise interpretability and reproducibility of challenge results by making relevant information explicit.
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BIAS: Transparent reporting of biomedical image analysis challenges
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Autor/in / Beteiligte Person: | Maier-Hein, Lena ; Reinke, Annika ; Kozubek, Michal ; Martel, Anne L ; Arbel, Tal ; Eisenmann, Matthias ; Hanbury, Allan ; Jannin, Pierre ; Muller, Henning ; Onogur, Sinan ; Saez-Rodriguez, Julio ; van Ginneken, Bram ; Kopp-Schneider, Annette ; Landman, Bennett A ; German Cancer Research Center - Deutsches Krebsforschungszentrum Heidelberg (DKFZ) ; Masaryk University Brno (MUNI) ; University of Toronto ; McGill University = Université McGill Montréal, Canada ; Vienna University of Technology (TU Wien) ; Laboratoire Traitement du Signal et de l'Image (LTSI) ; Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM) ; University of Applied Sciences and Arts of Western Switzerland (HES-SO) ; Université de Genève = University of Geneva (UNIGE) ; Universität Heidelberg Heidelberg = Heidelberg University ; Radboud University Medical Center Nijmegen ; Vanderbilt University Nashville ; ERC-2015-StG-37960, European Research Council ; RGPIN-2016-06283, Natural Sciences and Engineering Research Council of Canada ; #705772, Canadian Cancer Society ; CZ.02.1.01/0.0/0.0/16_013/0001775, Ministerstvo Školství, Mládeže a Tělovýchovy ; 1452485, National Science Foundation ; R01-EB017230-01A1, NIH Clinical Center |
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Zeitschrift: | ISSN: 1361-8415, 2020 |
Veröffentlichung: | HAL CCSD ; Elsevier, 2020 |
Medientyp: | academicJournal |
DOI: | 10.1016/j.media.2020.101796 |
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