Breast segmentation and density estimation in breast MRI: A fully automatic framework

IEEE Journal of Biomedical and Health Informatics

Volumn 19, Issue 1, 2015, Pages 349-357

  Gubern Mérida, Albert ^a,b   Kallenberg, Michiel ^b   Mann, Ritse M ^b   Martí, Robert ^a   Karssemeijer, Nico ^b  

^a UNIVERSITY OF GIRONA   (Spain)

^b RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Atlas based segmentation; breast density segmentation; breast MRI; breast segmentation; image processing; quantitative image analysis

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DISEASES; IMAGE PROCESSING; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MAXIMUM PRINCIPLE; RISK ASSESSMENT; TISSUE;

ATLAS-BASED SEGMENTATION; BREAST DENSITY; BREAST MRI; BREAST SEGMENTATION; QUANTITATIVE IMAGE ANALYSIS;

MEDICAL IMAGING;

ADULT; AGED; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST NEOPLASMS; COMPUTER ASSISTED DIAGNOSIS; DENSITOMETRY; FEMALE; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

ADULT; AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; DENSITOMETRY; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84920901669     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2014.2311163     Document Type: Article

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