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1
A Deep Learning-based Radiomics Approach for COVID-19 Detec..:
, In:
2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)
,
Costa, Marcus V. L.
;
de Aguiar, Erikson J.
;
Rodrigues, Lucas S.
... - p. 517-522 , 2023
Link:
https://doi.org/10.1109/CBMS58004.2023.00272
RT T1 <cTitle>2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)</cTitle>: T1 <Title>A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10178752&Exemplar=1&LAN=DE A1 Costa, Marcus V. L. A1 de Aguiar, Erikson J. A1 Rodrigues, Lucas S. A1 Ramos, Jonathan S. A1 Traina, Caetano A1 Traina, Agma J. M. YR 2023 SN 2372-9198 K1 COVID-19 K1 Adaptation models K1 Visualization K1 Transfer learning K1 Feature extraction K1 Classification algorithms K1 Task analysis K1 Deep Learning K1 Deep Radiomics K1 Deep Features K1 Radiomics K1 Medical Images SP 517 OP 522 LK http://dx.doi.org/https://doi.org/10.1109/CBMS58004.2023.00272 DO https://doi.org/10.1109/CBMS58004.2023.00272 SF ELIB - SuUB Bremen
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