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Deep learning methods for point-of-care ultrasound examinat..:
, In:
2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
,
Ignesti, Giacomo
;
Deri, Chiara
;
D'Angelo, Gennaro
... - p. 435-440 , 2023
Link:
https://doi.org/10.1109/SITIS61268.2023.00078
RT T1 <cTitle>2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)</cTitle>: T1 <Title>Deep learning methods for point-of-care ultrasound examination</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10472834&Exemplar=1&LAN=DE A1 Ignesti, Giacomo A1 Deri, Chiara A1 D'Angelo, Gennaro A1 Pratali, Lorenza A1 Bruno, Antonio A1 Benassi, Antonio A1 Salvetti, Ovidio A1 Moroni, Davide A1 Martinelli, Massimo YR 2023 K1 Deep learning K1 Visualization K1 Ultrasonic imaging K1 Telemedicine K1 Point of care K1 Optical character recognition K1 Classification algorithms K1 Point-of-care testing K1 Ultrasound K1 Multi-pathology K1 Artificial Intelligence K1 Explainable Artificial Intelligence (XAI) K1 Optical Character Recognition (OCR) K1 Machine Learning K1 Decision Support System (DSS) SP 435 OP 440 LK http://dx.doi.org/https://doi.org/10.1109/SITIS61268.2023.00078 DO https://doi.org/10.1109/SITIS61268.2023.00078 SF ELIB - SuUB Bremen
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