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1 Ergebnisse
1
Automating MRI-Based Ovarian Cancer Diagnosis with a DCNN*:
, In:
2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
,
Jenefa, A.
;
Ebenezer, V.
;
Edwin, E. Bijolin
... - p. 1353-1360 , 2023
Link:
https://doi.org/10.1109/ICSCNA58489.2023.10370390
RT T1 <cTitle>2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)</cTitle>: T1 <Title>Automating MRI-Based Ovarian Cancer Diagnosis with a DCNN*</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10370390&Exemplar=1&LAN=DE A1 Jenefa, A. A1 Ebenezer, V. A1 Edwin, E. Bijolin A1 Rajan, J. Jerlin A1 Stanley, P Kingston A1 Thanka, M.Roshni YR 2023 K1 Deep learning K1 Training K1 Visualization K1 Sensitivity K1 Magnetic resonance imaging K1 Training data K1 Data models K1 Terms-Ovarian cancer K1 Deep convolutional neural network (DCNN) K1 Image classification K1 Medical imaging K1 Automated diagnosis SP 1353 OP 1360 LK http://dx.doi.org/https://doi.org/10.1109/ICSCNA58489.2023.10370390 DO https://doi.org/10.1109/ICSCNA58489.2023.10370390 SF ELIB - SuUB Bremen
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