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1
Extension Network of Radiomics-Based Deeply Supervised U-Ne..:
, In:
2023 31st International Conference on Electrical Engineering (ICEE)
,
Ashtarian, Mahdi
;
Faez, Karim
;
Firouznia, Marjan
. - p. 167-171 , 2023
Link:
https://doi.org/10.1109/ICEE59167.2023.10334922
RT T1 <cTitle>2023 31st International Conference on Electrical Engineering (ICEE)</cTitle>: T1 <Title>Extension Network of Radiomics-Based Deeply Supervised U-Net (ERDU) for Prostate Image Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10334922&Exemplar=1&LAN=DE A1 Ashtarian, Mahdi A1 Faez, Karim A1 Firouznia, Marjan A1 Amindavar, Hamidreza YR 2023 SN 2642-9527 K1 Training K1 Image segmentation K1 Solid modeling K1 Three-dimensional displays K1 Shape K1 Magnetic resonance imaging K1 Noise reduction K1 Prostate Segmentation K1 deep learning K1 U-Net K1 medical image segmentation K1 Convolution Neural Network (CNN) SP 167 OP 171 LK http://dx.doi.org/https://doi.org/10.1109/ICEE59167.2023.10334922 DO https://doi.org/10.1109/ICEE59167.2023.10334922 SF ELIB - SuUB Bremen
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