AnalyzeDirect Warner JD, Irazabal MV, Krishnamurthi G, King BF, Torres VE, Erickson BJ. Supervised segmentation of polycystic kidneys: a new application for stereology data. J Digit Imaging. August 2014;27(4):514-519.
Publication Date
August 2014
How Analyze was Used
“All planimetry data was collected using the Analyze© 11 software package.”
Keywords
3D Segmentation
Biomedical Image Analysis
Boundary Extraction
Data Extraction
Digital Image Processing
Fuzzy Logic
Image Analysis
Image Segmentation
Imaging, Three-Dimensional
Segmentation
Magnetic Resonance Imaging (MRI)
Planimetry
Polycystic Kidney Disease
Python
Author Affiliation(s)
Mayo Clinic Department of Biomedical Engineering, Mayo Graduate School, Mayo Medical School and the Mayo Clinic Medical Scientist Training Program, 200 First Street SW, Rochester, MN, 55905, US. (JDW)
Mayo Clinic Department of Nephrology, Rochester, US. (MVI, VET)
Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India. (GK)
Mayo Clinic Department of Radiology, Rochester, US. (BFK, BJE)
ID# 819
Tags: 3D Segmentation, Biomedical Image Analysis, Boundary Extraction, Data Extraction, Digital Image Processing, Fuzzy Logic, Image Analysis, Image Segmentation, Magnetic Resonance Imaging (MRI), Planimetry, Polycystic Kidney Disease, Python, Segmentation, Three-Dimensional Imaging