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. 2023 Jan 12;13:1010273. doi: 10.3389/fpsyt.2022.1010273

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Copyright © 2023 Gaubert, Dell’Orco, Lange, Garnier-Crussard, Zimmermann, Dyrba, Duering, Ziegler, Peters, Preis, Priller, Spruth, Schneider, Fliessbach, Wiltfang, Schott, Maier, Glanz, Buerger, Janowitz, Perneczky, Rauchmann, Teipel, Kilimann, Laske, Munk, Spottke, Roy, Dobisch, Ewers, Dechent, Haynes, Scheffler, Düzel, Jessen and Wirth.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Distribution of performances of all algorithms with DSC (top), sensitivity (middle), and precision (bottom) at volume level. The median, the 25–75 percentiles and all individual values are represented. DSC, Sørensen-Dice similarity coefficient; T1w, T1-weighted image; FLAIR, fluid-attenuated inversion recovery image; BIANCA, brain intensity abnormality classification algorithm; LST LGA/-LPA, lesion segmentation toolbox for SPM using lesion growth algorithm/lesion prediction algorithms.