Accuracy and processing time of kidney volume measurement methods in rodents polycystic kidney disease models: superiority of semiautomated kidney segmentation.

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Bibliographic Details
Title:	Accuracy and processing time of kidney volume measurement methods in rodents polycystic kidney disease models: superiority of semiautomated kidney segmentation.
Authors:	Doss MC; Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States., Mullen S; Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States., Roye R; Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States., Zhou J; Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States., Chumley P; Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States., Mrug E; Math-Science Department, Alabama School of Fine Arts, Birmingham, Alabama, United States., Wallace DP; The Jared Grantham Kidney Institute, University of Kansas Medical Center, Kansas City, Kansas, United States.; Department of Medicine, University of Kansas Medical Center, Kansas City, Kansas, United States., Qian F; Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States., Harris PC; Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota, United States., Yoder BK; Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama, United States., Kim H; Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama, United States., Mrug M; Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.; Section of Nephrology, Department of Veterans Affairs Medical Center, Birmingham, Alabama, United States.
Source:	American journal of physiology. Renal physiology [Am J Physiol Renal Physiol] 2023 Apr 01; Vol. 324 (4), pp. F423-F430. Date of Electronic Publication: 2023 Feb 16.
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural
Journal Info:	Publisher: American Physiological Society Country of Publication: United States NLM ID: 100901990 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-1466 (Electronic) Linking ISSN: 15221466 NLM ISO Abbreviation: Am J Physiol Renal Physiol Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1522-1466
DOI:	10.1152/ajprenal.00295.2022