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Inter – intra observer variability using deep learning and ..:
, In:
2020 13th International Conference on Developments in eSystems Engineering (DeSE)
,
Almazroa, Ahmed
;
Alsomaie, Barrak
;
Alluhaydan, Najd
... - p. 447-452 , 2020
Link:
https://doi.org/10.1109/DeSE51703.2020.9450755
RT T1 <cTitle>2020 13th International Conference on Developments in eSystems Engineering (DeSE)</cTitle>: T1 <Title>Inter – intra observer variability using deep learning and traditional image processing for breast cancer</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9450755&Exemplar=1&LAN=DE A1 Almazroa, Ahmed A1 Alsomaie, Barrak A1 Alluhaydan, Najd A1 Alhaidary, Amal A1 Fahim, Mohammed A1 Abdul, Wadood A1 Alawad, Mohammed A1 Khan, Altaf A1 Alenezi, Ebtihal A1 almotairi, Taghreed A1 Alyahya, AlJowharah A1 Alfulayj, Raghad A1 Althobaiti, Manar A1 Maythir, Jawaher bin YR 2020 SN 2161-1351 K1 Deep learning K1 Training K1 Ultrasonic imaging K1 Sensitivity and specificity K1 Observers K1 Breast cancer K1 Real-time systems K1 Image processing K1 Computer-aided diagnosis systems SP 447 OP 452 LK http://dx.doi.org/https://doi.org/10.1109/DeSE51703.2020.9450755 DO https://doi.org/10.1109/DeSE51703.2020.9450755 SF ELIB - SuUB Bremen
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