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1 Ergebnisse
1
Predicting the severity of Neonatal Chronic Lung Disease fr..:
, In:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
,
Maeda, Ryunosuke
;
Fujita, Daisuke
;
Tanaka, Kosuke
... - p. 1543-1547 , 2022
Link:
https://doi.org/10.1109/SMC53654.2022.9945486
RT T1 <cTitle>2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)</cTitle>: T1 <Title>Predicting the severity of Neonatal Chronic Lung Disease from chest X-ray images using deep learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9945486&Exemplar=1&LAN=DE A1 Maeda, Ryunosuke A1 Fujita, Daisuke A1 Tanaka, Kosuke A1 Ozawa, Jyunichi A1 Haga, Mitsuhiro A1 Miyahara, Haoyuki A1 Nanba, Fumihiko A1 Kobashi, Syoji YR 2022 SN 2577-1655 K1 Pediatrics K1 Pulmonary diseases K1 Transfer learning K1 Lung K1 Predictive models K1 Convolutional neural networks K1 Lesions K1 deep learning K1 medical imaging K1 chronic lung disease K1 yolo K1 convolutional neural networks K1 transfer learning SP 1543 OP 1547 LK http://dx.doi.org/https://doi.org/10.1109/SMC53654.2022.9945486 DO https://doi.org/10.1109/SMC53654.2022.9945486 SF ELIB - SuUB Bremen
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