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Semi-Automated Image Segmentation of Peri-Prostatic Tissue ..:

, In: 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE),

Stanzione, Arnaldo ; Cuocolo, Renato ; Califano, Gianluigi... - p. 641-645 , 2022

Link: https://doi.org/10.1109/MetroXRAINE54828.2022.9967607

RT 
T1 <cTitle>2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)</cTitle>: T1 <Title>Semi-Automated Image Segmentation of Peri-Prostatic Tissue on MRI and Radiomics Features Stability: A Feasibility Study for Locally Advanced Prostate Cancer Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9967607&Exemplar=1&LAN=DE
				
A1 Stanzione, Arnaldo
A1 Cuocolo, Renato
A1 Califano, Gianluigi
A1 Ponsiglione, Andrea
A1 Ruvolo, Claudia Colla
A1 Spadarella, Gaia
A1 Giorgi, Marco De
A1 Nessuno, Francesca
A1 Longo, Nicola
A1 Imbriaco, Massimo
YR 2022
K1 Image segmentation
K1 Magnetic resonance imaging
K1 Machine learning
K1 Feature extraction
K1 Stability analysis
K1 Robustness
K1 Reproducibility of results
K1 radiomics
K1 machine learning
K1 MRI
K1 segmentation
SP 641
OP 645
LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE54828.2022.9967607
DO https://doi.org/10.1109/MetroXRAINE54828.2022.9967607
SF ELIB - SuUB Bremen

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