%0 Journal Article
%A Walger, Lennart
%A Schmitz, Matthias H
%A Bauer, Tobias
%A Kügler, David
%A Schuch, Fabiane
%A Arendt, Christophe
%A Baumgartner, Tobias
%A Birkenheier, Johannes
%A Borger, Valeri
%A Endler, Christoph
%A Grau, Franziska
%A Immanuel, Christian
%A Kölle, Markus
%A Kupczyk, Patrick
%A Lakghomi, Asadeh
%A Mackert, Sarah
%A Neuhaus, Elisabeth
%A Nordsiek, Julia
%A Odenthal, Anna-Maria
%A Dague, Karmele Olaciregui
%A Ostermann, Laura
%A Pukropski, Jan
%A Racz, Attila
%A von der Ropp, Klaus
%A Schmeel, Frederic Carsten
%A Schrader, Felix
%A Sitter, Aileen
%A Unruh-Pinheiro, Alexander
%A Voigt, Marilia
%A Vychopen, Martin
%A von Wedel, Philip
%A von Wrede, Randi
%A Attenberger, Ulrike
%A Vatter, Hartmut
%A Philipsen, Alexandra
%A Becker, Albert
%A Reuter, Martin
%A Hattingen, Elke
%A Radbruch, Alexander
%A Surges, Rainer
%A Rüber, Theodor
%T A public benchmark for human performance in the detection of focal cortical dysplasia.
%J Epilepsia open
%V 10
%N 3
%@ 2470-9239
%C Hoboken, NJ
%I Wiley
%M DZNE-2025-00716
%P 778 - 786
%D 2025
%X This study aims to report human performance in the detection of Focal Cortical Dysplasias (FCDs) using an openly available dataset. Additionally, it defines a subset of this data as a 'difficult' test set to establish a public baseline benchmark against which new methods for automated FCD detection can be evaluated.The performance of 28 human readers with varying levels of expertise in detecting FCDs was originally analyzed using 146 subjects (not all of which are openly available), we analyzed the openly available subset of 85 cases. Performance was measured based on the overlap between predicted regions of interest (ROIs) and ground-truth lesion masks, using the Dice-Soerensen coefficient (DSC). The benchmark test set was chosen to consist of 15 subjects most predictive for human performance and 13 subjects identified by at most 3 of the 28 readers.Expert readers achieved an average detection rate of 68
%K Humans
%K Benchmarking
%K Malformations of Cortical Development: diagnostic imaging
%K Malformations of Cortical Development: diagnosis
%K Magnetic Resonance Imaging
%K Female
%K Male
%K Adult
%K Focal Cortical Dysplasia
%K artificial intelligence (Other)
%K computer‐aided detection (Other)
%K human performance (Other)
%K reader study (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40167314
%R 10.1002/epi4.70028
%U https://pub.dzne.de/record/279188