Informační systém MU
REINKE, Annika, Matthias EISENMANN, Sinan ONOGUR, Marko STANKOVIC, Patrick SCHOLZ, Peter M FULL, Hrvoje BOGUNOVIC, Bennett A LANDMAN, Oskar MAIER, Bjoern MENZE, Gregory C SHARP, Korsuk SIRINUKUNWATTANA, Stefanie SPEIDEL, Fons VAN DER SOMMEN, Guoyan ZHENG, Henning MÜLLER, Michal KOZUBEK, Tal ARBEL, Andrew P BRADLEY, Pierre JANNIN, Annette KOPP-SCHNEIDER and Lena MAIER-HEIN. How to Exploit Weaknesses in Biomedical Challenge Design and Organization. In Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. LNCS 11073. Cham (Switzerland): Springer, 2018, p. 388-395. ISBN 978-3-030-00936-6. Available from: https://dx.doi.org/10.1007/978-3-030-00937-3_45.
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Basic information
Original name How to Exploit Weaknesses in Biomedical Challenge Design and Organization
Authors REINKE, Annika, Matthias EISENMANN, Sinan ONOGUR, Marko STANKOVIC, Patrick SCHOLZ, Peter M FULL, Hrvoje BOGUNOVIC, Bennett A LANDMAN, Oskar MAIER, Bjoern MENZE, Gregory C SHARP, Korsuk SIRINUKUNWATTANA, Stefanie SPEIDEL, Fons VAN DER SOMMEN, Guoyan ZHENG, Henning MÜLLER, Michal KOZUBEK (203 Czech Republic, guarantor, belonging to the institution), Tal ARBEL, Andrew P BRADLEY, Pierre JANNIN, Annette KOPP-SCHNEIDER and Lena MAIER-HEIN.
Edition LNCS 11073. Cham (Switzerland), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p. 388-395, 8 pp. 2018.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/18:00104381
Organization unit Faculty of Informatics
ISBN 978-3-030-00936-6
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-030-00937-3_45
UT WoS 000477769100045
Keywords in English biomedical image analysis; benchmarking
Tags cbia-web, core_A, firank_A
Tags International impact, Reviewed
Changed by Changed by: Mgr. Michal Petr, učo 65024. Changed: 23/4/2020 20:51.
Abstract
Since the first MICCAI grand challenge organized in 2007 in Brisbane, challenges have become an integral part of MICCAI conferences. In the meantime, challenge datasets have become widely recognized as international benchmarking datasets and thus have a great influence on the research community and individual careers. In this paper, we show several ways in which weaknesses related to current challenge design and organization can potentially be exploited. Our experimental analysis, based on MICCAI segmentation challenges organized in 2015, demonstrates that both challenge organizers and participants can potentially undertake measures to substantially tune rankings. To overcome these problems we present best practice recommendations for improving challenge design and organization.
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