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DenseNet201: A Deep Learning Method for Improving Pulmonary..:
, In:
2023 8th International Conference on Communication and Electronics Systems (ICCES)
,
Ramadoss, R.
;
Vimala, C.
- p. 1058-1063 , 2023
Link:
https://doi.org/10.1109/ICCES57224.2023.10192859
RT T1 <cTitle>2023 8th International Conference on Communication and Electronics Systems (ICCES)</cTitle>: T1 <Title>DenseNet201: A Deep Learning Method for Improving Pulmonary Emphysema Identification from Chest X-rays</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10192859&Exemplar=1&LAN=DE A1 Ramadoss, R. A1 Vimala, C. YR 2023 K1 Radiography K1 Sensitivity K1 Electric breakdown K1 Transfer learning K1 Neural networks K1 Lung K1 Elasticity K1 Chest radiograph K1 Deep learning K1 Emphysema K1 Transfer Learning K1 Convolutional Neural Network (CNN) SP 1058 OP 1063 LK http://dx.doi.org/https://doi.org/10.1109/ICCES57224.2023.10192859 DO https://doi.org/10.1109/ICCES57224.2023.10192859 SF ELIB - SuUB Bremen
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