Efficient Small Blob Detection Based on Local Convexity, Intensity and Shape Information

IEEE Transactions on Medical Imaging

Volumn 35, Issue 4, 2016, Pages 1127-1137

  Zhang, Min ^a   Wu, Teresa ^b   Beeman, Scott C ^c   Cullen McEwen, Luise ^d   Bertram, John F ^d   Charlton, Jennifer R ^e   Baldelomar, Edwin ^f   Bennett, Kevin M ^f  

^a MAYO CLINIC   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c WASHINGTON UNIVERSITY   (United States)

^d MONASH UNIVERSITY   (Australia)

^e UNIVERSITY OF VIRGINIA MEDICAL CENTER   (United States)

^f UNIVERSITY OF HAWAII   (United States)

Author keywords

Kidney; machine learning; quantification and estimation; segmentation; shape analysis

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE SEGMENTATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATRIX ALGEBRA; MEDICAL APPLICATIONS; MEDICAL IMAGING;

AUTOMATED DETECTION; COMPUTATIONALLY EFFICIENT; CONTRAST ENHANCEMENT; DIFFERENCE OF GAUSSIANS; KIDNEY; RELEVANT FEATURES; SHAPE ANALYSIS; UNSUPERVISED TECHNIQUES;

MAGNETIC RESONANCE IMAGING;

ANIMAL EXPERIMENT; GLOMERULUS; HUMAN VERSUS ANIMAL COMPARISON; LEARNING ALGORITHM; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; ALGORITHM; ANIMAL; DIAGNOSTIC IMAGING; HUMAN; KIDNEY; PROCEDURES; RAT; SPRAGUE DAWLEY RAT; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; HUMANS; IMAGING, THREE-DIMENSIONAL; KIDNEY; MAGNETIC RESONANCE IMAGING; RATS; RATS, SPRAGUE-DAWLEY;

EID: 84963815569     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2015.2509463     Document Type: Article

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