Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke

Author(s):
Hilbert, A.; Ramos, L.A.; Os, H.J.A. van; Olabarriaga, S.D.; Tolhuisen, M.L.; Wermer, M.J.H.; Barros, R.S.; Schaaf, I. van der; Dippel, D.; Roos, Y.B.W.E.M.; Zwam, W.H. van; Yoo, A.J.; Emmer, B.J.; Nijeholt, G.J.L.A.; Zwinderman, A.H.; Strijkers, G.J.; Majoie, C.B.L.M.; Marquering, H.A.
Published
2019
Publication type
Article / Letter to editor
Acute ischemic strokeRadiological imagesDeep learningPrognosticsResNetRFNNStructured receptive fieldsGradient-weighted class activation mapping
Date issued
2019-12-31
Language
English
Is part of
Computers in Biology and Medicine
hdl
1887/120779
doi
10.1016/j.compbiomed.2019.103516