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COV-CTX: A Deep Learning Approach to Detect COVID-19 from L..:
Sadi, Muhammad Sheikh
;
Alotaibi, Mohammed
;
Saha, Prottoy
...
International Journal of Online and Biomedical Engineering (iJOE). 19 (2023) 9 - p. 47-65 , 2023
Link:
https://doi.org/10.3991/ijoe.v19i09.38147
RT Journal T1 <Title>COV-CTX: A Deep Learning Approach to Detect COVID-19 from Lung CT and X-Ray Images</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.3991_ijoe.v19i09.38147&Exemplar=1&LAN=DE A1 Sadi, Muhammad Sheikh A1 Alotaibi, Mohammed A1 Saha, Prottoy A1 Nishat, Fahamida Yeasmin A1 Tasnim, Jerin A1 Alhmiedat, Tareq A1 Almoamari, Hani A1 Bassfar, Zaid PB International Association of Online Engineering (IAOE) YR 2023 SN 2626-8493 JF International Journal of Online and Biomedical Engineering (iJOE) VO 19 IS 9 SP 47 OP 65 LK http://dx.doi.org/https://doi.org/10.3991/ijoe.v19i09.38147 DO https://doi.org/10.3991/ijoe.v19i09.38147 SF ELIB - SuUB Bremen
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