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1 Ergebnisse
1
A Semi-supervised Approach for Early Identifying the Abnorm..:
, In:
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Huang, Xiaoxiang
;
Cui, Guosheng
;
Wu, Dan
. - p. 595-600 , 2020
Link:
https://doi.org/10.1109/BIBM49941.2020.9313193
RT T1
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
: T1
A Semi-supervised Approach for Early Identifying the Abnormal Carotid Arteries Using a Modified Variational Autoencoder
UL https://suche.suub.uni-bremen.de/peid=ieee-9313193&Exemplar=1&LAN=DE A1 Huang, Xiaoxiang A1 Cui, Guosheng A1 Wu, Dan A1 Li, Ye YR 2020 K1 Carotid arteries K1 Support vector machines K1 Machine learning K1 Radio frequency K1 Lesions K1 Predictive models K1 Data models K1 stroke K1 preliminary screening K1 MKNN K1 VAE K1 supervised and semi-supervised SP 595 OP 600 LK http://dx.doi.org/https://doi.org/10.1109/BIBM49941.2020.9313193 DO https://doi.org/10.1109/BIBM49941.2020.9313193 SF ELIB - SuUB Bremen
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