Detailed Information on Publication Record
2018
How to Exploit Weaknesses in Biomedical Challenge Design and Organization
REINKE, Annika, Matthias EISENMANN, Sinan ONOGUR, Marko STANKOVIC, Patrick SCHOLZ et. al.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
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
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
UT WoS
000477769100045
Keywords in English
biomedical image analysis; benchmarking
Tags
International impact, Reviewed
Změněno: 23/4/2020 20:51, Mgr. Michal Petr
Abstract
V originále
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.