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Benchmark data for sulcal pits extraction algorithms
G Auzias1, L Brun2, C Deruelle2
1Institut de Neurosciences de la Timone, UMR7289, Aix-Marseille Université & CNRS, Marseille, France; Laboratoire des Sciences de l׳Information et des Systèmes, UMR7296, Aix-Marseille Université & CNRS, Marseille, France.
Data in Brief
|March 10, 2016
Abstract:
This article contains data related to the research article Auzias et al. (2015) [1]. This data can be used as a benchmark for quantitative evaluation of sulcal pits extraction algorithm. In particular, it allows a quantitative comparison with our method, and the assessment of the consistency of the sulcal pits extraction across two well-matched populations.
