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1 Ergebnisse
1
Collaborative Multi-Institutional Prostate Lesion Segmentat..:
, In:
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
,
Shiri, Isaac
;
Showkatian, Eman
;
Mohammadi, Reza
... - p. 1-3 , 2022
Link:
https://doi.org/10.1109/NSS/MIC44845.2022.10398941
RT T1 <cTitle>2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)</cTitle>: T1 <Title>Collaborative Multi-Institutional Prostate Lesion Segmentation from MR images Using Deep Federated Learning Framework</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10398941&Exemplar=1&LAN=DE A1 Shiri, Isaac A1 Showkatian, Eman A1 Mohammadi, Reza A1 Razeghi, Behrooz A1 Bagheri, Soroush A1 Hajianfar, Ghasem A1 Salimi, Yazdan A1 Amini, Mehdi A1 Oghli, Mostafa Ghelich A1 Ferdowsi, Sohrab A1 Voloshynovskiy, Slava A1 Zaidi, Habib YR 2022 SN 2577-0829 K1 Image segmentation K1 Three-dimensional displays K1 Federated learning K1 Magnetic resonance imaging K1 Data models K1 Lesions K1 Security K1 Deep learning K1 MRI K1 Prostate SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/NSS/MIC44845.2022.10398941 DO https://doi.org/10.1109/NSS/MIC44845.2022.10398941 SF ELIB - SuUB Bremen
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