Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Author(s):
Kuijf, H.J.; Biesbroek, J.M.; Bresser, J. de; Heinen, R.; Andermatt, S.; Bento, M.; Berseth, M.; Belyaev, M.; Cardoso, M.J.; Casamitjana, A.; Collins, D.L.; Dadar, M.; Georgiou, A.; Ghafoorian, M.; Jin, D.K.; Khademi, A.; Knight, J.; Li, H.W.; Llado, X.; Luna, M.; Mahmood, Q.; McKinley, R.; Mehrtash, A.; Ourselin, S.; Park, B.Y.; Park, H.; Park, S.H.; Pezold, S.; Puybareau, E.; Rittner, L.; Sudre, C.H.; Valverde, S.; Vilaplana, V.; Wiest, R.; Xu, Y.C.; Xu, Z.Y.; Zeng, G.D.; Zhang, J.G.; Zheng, G.Y.; Chen, C.; Flier, W. van der; Barkhof, F.; Viergever, M.A.; Biessels, G.J.
Published
2019
Publication type
Article / Letter to editor
Image segmentationThree-dimensional displaysManualsWhite matterBiomedical imagingRadiologyMagnetic resonance imaging (MRI)brainevaluation and performancesegmentation
Date issued
2019-11-30
Language
English
Is part of
IEEE Transactions on Medical Imaging (2019), Vol. 38, no. 11, p. 2556-2568
hdl
1887/121252
doi
10.1109/TMI.2019.2905770