Kidney segmentation in renal magnetic resonance imaging - current status and prospects

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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:	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
UDC:	004.93
ISSN on article:	2169-3536
DOI:	10.1109/ACCESS.2021.3078430
COBISS.SI-ID:	65288195
Publication date in RUP:	04.06.2021
Views:	1874
Downloads:	46
Metadata:
:	ZÖLLNER, Frank G., KOCIŃSKI, Marek, HANSEN, Laura L., GOLLA, Alena-Kathrin, ŠERIFOVIĆ-TRBALIĆ, Amira, LUNDERVOLD, A., MATERKA, Andrzej and ROGELJ, Peter, 2021, Kidney segmentation in renal magnetic resonance imaging - current status and prospects. IEEE access [online]. 2021. Vol. 9, p. 71577–71605. [Accessed 2 April 2025]. DOI 10.1109/ACCESS.2021.3078430. Retrieved from: https://ieeexplore.ieee.org/document/9427136 Copy citation

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Title:	IEEE access
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	2169-3536
COBISS.SI-ID:	519839513

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

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