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COVID-FACT: A Fully-Automated Capsule Network-Based Framewo..:
Heidarian, Shahin
;
Afshar, Parnian
;
Enshaei, Nastaran
...
Frontiers in Artificial Intelligence. 4 (2021) - p. , 2021
Link:
https://doi.org/10.3389/frai.2021.598932
RT Journal T1
COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_frai.2021.598932&Exemplar=1&LAN=DE A1 Heidarian, Shahin A1 Afshar, Parnian A1 Enshaei, Nastaran A1 Naderkhani, Farnoosh A1 Rafiee, Moezedin Javad A1 Babaki Fard, Faranak A1 Samimi, Kaveh A1 Atashzar, S. Farokh A1 Oikonomou, Anastasia A1 Plataniotis, Konstantinos N. A1 Mohammadi, Arash PB Frontiers Media SA YR 2021 SN 2624-8212 JF Frontiers in Artificial Intelligence VO 4 LK http://dx.doi.org/https://doi.org/10.3389/frai.2021.598932 DO https://doi.org/10.3389/frai.2021.598932 SF ELIB - SuUB Bremen
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