BIAS: Transparent reporting of biomedical image analysis
challenges

J 2020

BIAS: Transparent reporting of biomedical image analysis challenges

MAIER-HEIN, Lena, Annika REINKE, Michal KOZUBEK, Anne L. MARTEL, Tal ARBEL et. al.

Základní údaje

Originální název

BIAS: Transparent reporting of biomedical image analysis challenges

Autoři

MAIER-HEIN, Lena (276 Německo), Annika REINKE (276 Německo), Michal KOZUBEK (203 Česká republika, garant, domácí), Anne L. MARTEL (124 Kanada), Tal ARBEL (124 Kanada), Matthias EISENMANN (276 Německo), Allan HANBURY (40 Rakousko), Pierre JANNIN (250 Francie), Henning MÜLLER (756 Švýcarsko), Sinan ONOGUR (276 Německo), Julio SAEZ-RODRIGUEZ (276 Německo), Bram VAN GINNEKEN (528 Nizozemské království), Annette KOPP-SCHNEIDER (276 Německo) a Bennett A. LANDMAN (840 Spojené státy)

Vydání

Medical Image Analysis, Elsevier, 2020, 1361-8415

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 8.545

Kód RIV

RIV/00216224:14330/20:00116355

Organizační jednotka

Fakulta informatiky

DOI

http://dx.doi.org/10.1016/j.media.2020.101796

UT WoS

000579512600003

EID Scopus

2-s2.0-85090360757

Klíčová slova anglicky

Biomedical challenges;Good scientific practice;Biomedical image analysis;Guideline

Štítky

cbia-web

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 14. 6. 2022 12:29, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

EF16_013/0001775, projekt VaV

Název: Modernizace a podpora výzkumných aktivit národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging

LTC17016, projekt VaV

Název: Benchmarking algoritmů segmentace a sledování buněk

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Benchmarking algoritmů segmentace a sledování buněk, INTER-COST

Přiložené soubory

MaierHein_MedIA_2020.pdf

Citovat

MAIER-HEIN, Lena, Annika REINKE, Michal KOZUBEK, Anne L. MARTEL, Tal ARBEL, Matthias EISENMANN, Allan HANBURY, Pierre JANNIN, Henning MÜLLER, Sinan ONOGUR, Julio SAEZ-RODRIGUEZ, Bram VAN GINNEKEN, Annette KOPP-SCHNEIDER a Bennett A. LANDMAN. BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Analysis. Elsevier, 2020, roč. 66, č. 101796, s. 1-7. ISSN 1361-8415. Dostupné z: https://dx.doi.org/10.1016/j.media.2020.101796.

@article{1677718,
   author = {MaierandHein, Lena and Reinke, Annika and Kozubek, Michal and Martel, Anne L. and Arbel, Tal and Eisenmann, Matthias and Hanbury, Allan and Jannin, Pierre and Müller, Henning and Onogur, Sinan and SaezandRodriguez, Julio and van Ginneken, Bram and KoppandSchneider, Annette and Landman, Bennett A.},
   article_number = {101796},
   doi = {http://dx.doi.org/10.1016/j.media.2020.101796},
   keywords = {Biomedical challenges;Good scientific practice;Biomedical image analysis;Guideline},
   language = {eng},
   issn = {1361-8415},
   journal = {Medical Image Analysis},
   title = {BIAS: Transparent reporting of biomedical image analysis challenges},
   url = {https://doi.org/10.1016/j.media.2020.101796},
   volume = {66},
   year = {2020}
}

TY  - JOUR
ID  - 1677718
AU  - 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.
PY  - 2020
TI  - BIAS: Transparent reporting of biomedical image analysis challenges
JF  - Medical Image Analysis
VL  - 66
IS  - 101796
SP  - 1-7
EP  - 1-7
PB  - Elsevier
SN  - 13618415
KW  - Biomedical challenges;Good scientific practice;Biomedical image analysis;Guideline
UR  - https://doi.org/10.1016/j.media.2020.101796
L2  - https://doi.org/10.1016/j.media.2020.101796
N2  - 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.
ER  -

MAIER-HEIN, Lena, Annika REINKE, Michal KOZUBEK, Anne L. MARTEL, Tal ARBEL, Matthias EISENMANN, Allan HANBURY, Pierre JANNIN, Henning MÜLLER, Sinan ONOGUR, Julio SAEZ-RODRIGUEZ, Bram VAN GINNEKEN, Annette KOPP-SCHNEIDER a Bennett A. LANDMAN. BIAS: Transparent reporting of biomedical image analysis challenges. \textit{Medical Image Analysis}. Elsevier, 2020, roč.~66, č.~101796, s.~1-7. ISSN~1361-8415. Dostupné z: https://dx.doi.org/10.1016/j.media.2020.101796.

Přehled o publikaci