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A Comparative Study of Deep Learning Models for COVID-19 Di..:
, In:
Advances in Sustainability Science and Technology; Smart and Sustainable Technology for Resilient Cities and Communities
,
Siddiqui, Shah
;
Hossain, Elias
;
Ferdous, Rezowan
... - p. 163-174 , 2022
Link:
https://doi.org/10.1007/978-981-16-9101-0_12
RT T1
Advances in Sustainability Science and Technology; Smart and Sustainable Technology for Resilient Cities and Communities
: T1
A Comparative Study of Deep Learning Models for COVID-19 Diagnosis Based on X-Ray Images
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-16-9101-0_12&Exemplar=1&LAN=DE A1 Siddiqui, Shah A1 Hossain, Elias A1 Ferdous, Rezowan A1 Arifeen, Murshedul A1 Rahman, Wahidur A1 Masum, Shamsul A1 Hopgood, Adrian A1 Good, Alice A1 Gegov, Alexander PB Springer Nature Singapore YR 2022 SP 163 OP 174 LK http://dx.doi.org/https://doi.org/10.1007/978-981-16-9101-0_12 DO https://doi.org/10.1007/978-981-16-9101-0_12 SF ELIB - SuUB Bremen
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