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1 Ergebnisse
1
Evaluating Autoencoders for Dimensionality Reduction of MRI..:
, In:
Proceedings of the 35th International Conference on Scientific and Statistical Database Management
,
Biggs, Mikayla
;
Wang, Yaohua
;
Soni, Neetu
... - p. 1-11 , 2023
Link:
https://dl.acm.org/doi/10.1145/3603719.3603737
RT T1 <cTitle>Proceedings of the 35th International Conference on Scientific and Statistical Database Management</cTitle>: T1 <Title>Evaluating Autoencoders for Dimensionality Reduction of MRI-derived Radiomics and Classification of Malignant Brain Tumors</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3603737&Exemplar=1&LAN=DE A1 Biggs, Mikayla A1 Wang, Yaohua A1 Soni, Neetu A1 Priya, Sarv A1 Bathla, Girish A1 Canahuate, Guadalupe PB ACM YR 2023 K1 autoencoders K1 dimensionality reduction K1 malignant brain tumors K1 radiomics K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification K1 Unsupervised learning K1 Dimensionality reduction and manifold learning SP 1 OP 11 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3603719.3603737 DO https://dl.acm.org/doi/10.1145/3603719.3603737 SF ELIB - SuUB Bremen
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