Segmentation of adipose and glandular tissue for breast tomosynthesis imaging using a 3D hidden-Markov model trained on breast MRIs

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7961, Issue , 2011, Pages

  Shafer, Christina M ^a   Seewaldt, Victoria L ^b   Lo, Joseph Y ^a,b  

^a Duke University   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST MRI; BREAST TISSUES; BREAST TOMOSYNTHESIS; DEPTH INFORMATION; GLANDULAR TISSUE; GROUND TRUTH; HIGH-RISK PATIENTS; IMAGING MODALITY; MULTI-MODALITY; PROBABILISTIC MODELS; PROJECTION GEOMETRY; STUDY PLANS; THRESHOLDING; TOMOSYNTHESIS; UNDER-SAMPLING; VALUE OPTIMIZATION;

HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MAMMOGRAPHY; MEDICAL IMAGING; TISSUE;

THREE DIMENSIONAL;

EID: 79955773889     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878137     Document Type: Conference Paper

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