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Diagnostic performance of deep learning-based automatic whi..:
Joo, Leehi
;
Shim, Woo Hyun
;
Suh, Chong Hyun
...
PLOS ONE. 17 (2022) 9 - p. e0274562 , 2022
Link:
https://doi.org/10.1371/journal.pone.0274562
RT Journal T1
Diagnostic performance of deep learning-based automatic white matter hyperintensity segmentation for classification of the Fazekas scale and differentiation of subcortical vascular dementia
UL https://suche.suub.uni-bremen.de/peid=cr-10.1371_journal.pone.0274562&Exemplar=1&LAN=DE A1 Joo, Leehi A1 Shim, Woo Hyun A1 Suh, Chong Hyun A1 Lim, Su Jin A1 Heo, Hwon A1 Kim, Woo Seok A1 Hong, Eunpyeong A1 Lee, Dongsoo A1 Sung, Jinkyeong A1 Lim, Jae-Sung A1 Lee, Jae-Hong A1 Kim, Sang Joon A1 Filippi, Massimo PB Public Library of Science (PLoS) YR 2022 SN 1932-6203 JF PLOS ONE VO 17 IS 9 SP e0274562 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0274562 DO https://doi.org/10.1371/journal.pone.0274562 SF ELIB - SuUB Bremen
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