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1 Ergebnisse
1
Deep Learned Nucleus Features for Breast Cancer Histopathol..:
, In:
TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)
,
George, Kalpana
;
Faziludeen, Shameer
;
Sankaran, Praveen
. - p. 344-349 , 2019
Link:
https://doi.org/10.1109/TENCON.2019.8929539
RT T1
TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)
: T1
Deep Learned Nucleus Features for Breast Cancer Histopathological Image Analysis based on Belief Theoretical Classifier Fusion
UL https://suche.suub.uni-bremen.de/peid=ieee-8929539&Exemplar=1&LAN=DE A1 George, Kalpana A1 Faziludeen, Shameer A1 Sankaran, Praveen A1 Paul, Joseph K YR 2019 SN 2159-3450 K1 Feature extraction K1 Support vector machines K1 Breast cancer K1 Training K1 Reliability K1 Machine learning K1 breast cancer K1 histopathology K1 deep learning K1 convolutional neural network K1 belief theory K1 support vector machine SP 344 OP 349 LK http://dx.doi.org/https://doi.org/10.1109/TENCON.2019.8929539 DO https://doi.org/10.1109/TENCON.2019.8929539 SF ELIB - SuUB Bremen
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