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1
Enhancing COVID-19 Diagnosis with Automated Reporting using..:
, In:
2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
,
M, Arul Raj A.
;
R, Sugumar
- p. 35-40 , 2023
Link:
https://doi.org/10.1109/ICAAIC56838.2023.10141515
RT T1 <cTitle>2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)</cTitle>: T1 <Title>Enhancing COVID-19 Diagnosis with Automated Reporting using Preprocessed Chest X-Ray Image Analysis based on CNN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10141515&Exemplar=1&LAN=DE A1 M, Arul Raj A. A1 R, Sugumar YR 2023 K1 COVID-19 K1 Measurement K1 Image segmentation K1 Pandemics K1 Medical services K1 Computer architecture K1 Sensitivity and specificity K1 X-ray images K1 Automated Reporting K1 Convolutional Neural Network K1 Accuracy SP 35 OP 40 LK http://dx.doi.org/https://doi.org/10.1109/ICAAIC56838.2023.10141515 DO https://doi.org/10.1109/ICAAIC56838.2023.10141515 SF ELIB - SuUB Bremen
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