Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8670, Issue , 2013, Pages

  Wu, Shandong ^a   Weinstein, Susan P ^b   Conant, Emily F ^b   Kontos, Despina ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Atlas; Breast; Fibroglandular tissue; Magnetic resonance imaging (MRI); Segmentation

Indexed keywords

ATLAS; AUTOMATED SEGMENTATION; AUTOMATED SEGMENTATION METHOD; BREAST; FIBROGLANDULAR TISSUE; MAGNETIC RESONANCE IMAGING (MRI); QUANTITATIVE RISK ASSESSMENT; SPATIAL SEGMENTATION;

AUTOMATION; COMPUTER AIDED DIAGNOSIS; ESTIMATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; THREE DIMENSIONAL; THREE DIMENSIONAL COMPUTER GRAPHICS;

MEDICAL IMAGING;

EID: 84878418048     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2007622     Document Type: Conference Paper

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