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Title:Kidney segmentation in renal magnetic resonance imaging - current status and prospects
Authors:ID Zöllner, Frank G. (Author)
ID Kociński, Marek (Author)
ID Hansen, Laura L. (Author)
ID Golla, Alena-Kathrin (Author)
ID Šerifović-Trbalić, Amira (Author)
ID Lundervold, A. (Author)
ID Materka, Andrzej (Author)
ID Rogelj, Peter (Author)
Files:URL https://ieeexplore.ieee.org/document/9427136
 
Language:English
Work type:Unknown
Typology:1.02 - Review Article
Organization:IAM - Andrej Marušič Institute
Keywords:renal MRI, image segmentation, deep learning
Year of publishing:2021
Number of pages:str. 71577-71605
Numbering:Vol. 9
PID:20.500.12556/RUP-16312 This link opens in a new window
UDC:004.93
ISSN on article:2169-3536
DOI:10.1109/ACCESS.2021.3078430 This link opens in a new window
COBISS.SI-ID:65288195 This link opens in a new window
Publication date in RUP:04.06.2021
Views:1343
Downloads:44
Metadata:XML RDF-CHPDL DC-XML DC-RDF
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Record is a part of a journal

Title:IEEE access
Publisher:Institute of Electrical and Electronics Engineers
ISSN:2169-3536
COBISS.SI-ID:519839513 This link opens in a new window

Secondary language

Language:English
Keywords:MRI ledvic, segmentacija slik, globoko učenje


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