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BIAS: Transparent reporting of biomedical image analysis challenges.

Authors :
Maier-Hein, Lena
Reinke, Annika
Kozubek, Michal
Martel, Anne L.
Arbel, Tal
Eisenmann, Matthias
Hanbury, Allan
Jannin, Pierre
Müller, Henning
Onogur, Sinan
Saez-Rodriguez, Julio
van Ginneken, Bram
Kopp-Schneider, Annette
Landman, Bennett A.
Source :
Medical Image Analysis. Dec2020, Vol. 66, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• First guideline for reporting biomedical image analysis challenges. • Includes checklist for authors and reviewers. 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. 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 B iomedical I mage A nalysis Challenge S (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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13618415
Volume :
66
Database :
Academic Search Index
Journal :
Medical Image Analysis
Publication Type :
Academic Journal
Accession number :
146481171
Full Text :
https://doi.org/10.1016/j.media.2020.101796