Supervised segmentation of polycystic kidneys: A new application for stereology data

Journal of Digital Imaging

Volumn 27, Issue 4, 2014, Pages 514-519

  Warner, Joshua D ^a   Irazabal, Maria V ^b   Krishnamurthi, Ganapathy ^c   King, Bernard F ^b   Torres, Vicente E ^b   Erickson, Bradley J ^b  

^a MAYO GRADUATE SCHOOL   (United States)

^b MAYO CLINIC   (United States)

^c INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

3D imaging (three dimensional imaging); 3D segmentation; Biomedical image analysis; Boundary extraction; Data extraction; Digital image processing; Fuzzy logic; Image analysis; Image segmentation; Magnetic resonance imaging; MR imaging; Planimetry; Polycystic kidney disease; Python; Segmentation

Indexed keywords

BIOLOGICAL ORGANS; DIAGNOSIS; FUZZY LOGIC; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING SYSTEMS; MAGNETIC RESONANCE IMAGING;

3D SEGMENTATION; BIOMEDICAL IMAGE ANALYSIS; BOUNDARY EXTRACTION; DATA EXTRACTION; MR IMAGING; PLANIMETRY; POLYCYSTIC KIDNEY DISEASE; PYTHON; THREE DIMENSIONAL IMAGING;

MICROSTRUCTURE;

ALGORITHM; HUMAN; IMAGE PROCESSING; KIDNEY; KIDNEY POLYCYSTIC DISEASE; NUCLEAR MAGNETIC RESONANCE IMAGING; ORGAN SIZE; PATHOLOGY; PROCEDURES; THREE DIMENSIONAL IMAGING;

ALGORITHMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; KIDNEY; MAGNETIC RESONANCE IMAGING; ORGAN SIZE; POLYCYSTIC KIDNEY DISEASES;

EID: 84904391449     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-014-9679-y     Document Type: Article

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