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AusculNET: A Deep Learning framework for Adventitious Lung ..:
, In:
2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
,
Papadakis, Charalampos
;
Rocha, Leandro M. Giacomini
;
Catthoor, Francky
.. - p. 1-4 , 2023
Link:
https://doi.org/10.1109/ICECS58634.2023.10382751
RT T1
2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
: T1
AusculNET: A Deep Learning framework for Adventitious Lung Sounds Classification
UL https://suche.suub.uni-bremen.de/peid=ieee-10382751&Exemplar=1&LAN=DE A1 Papadakis, Charalampos A1 Rocha, Leandro M. Giacomini A1 Catthoor, Francky A1 Helleputte, Nick Van A1 Biswas, Dwaipayan YR 2023 K1 Deep learning K1 Quantization (signal) K1 Databases K1 Neural networks K1 Lung K1 Stethoscope K1 Sensitivity and specificity K1 Adventitious lung sounds classification K1 crackle K1 wheeze K1 ICBHI dataset K1 CNN K1 LSTM K1 quantization SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICECS58634.2023.10382751 DO https://doi.org/10.1109/ICECS58634.2023.10382751 SF ELIB - SuUB Bremen
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