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1 Ergebnisse
1
Distilling Knowledge from Ensembles of Cluster-Constrained-..:
, In:
2022 IEEE International Conference on Big Data (Big Data)
,
Alamudun, Folami
;
Hinkle, Jacob
;
Dash, Sajal
... - p. 3393-3397 , 2022
Link:
https://doi.org/10.1109/BigData55660.2022.10020938
RT T1 <cTitle>2022 IEEE International Conference on Big Data (Big Data)</cTitle>: T1 <Title>Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10020938&Exemplar=1&LAN=DE A1 Alamudun, Folami A1 Hinkle, Jacob A1 Dash, Sajal A1 Hernandez, Benjamin A1 Tsaris, Aristeidis A1 Yoon, Hong-Jun YR 2022 K1 Pathology K1 Costs K1 Machine learning algorithms K1 Image resolution K1 Image coding K1 Microscopy K1 Big Data K1 whole slide imaging K1 pathology K1 deep learning K1 ensemble K1 knowledge distillation K1 weak supervision K1 multiple instance learning K1 model compression K1 clam K1 attention K1 logits K1 resnet50 SP 3393 OP 3397 LK http://dx.doi.org/https://doi.org/10.1109/BigData55660.2022.10020938 DO https://doi.org/10.1109/BigData55660.2022.10020938 SF ELIB - SuUB Bremen
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