Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 2014-January, Issue January, 2014, Pages 2624-2629

  Chaudhury, Baishali ^a   Zhou, Mu ^a   Goldgof, Dmitry B ^a   Hall, Lawrence O ^a   Gatenby, Robert A ^b   Gillies, Robert J ^b   Drukteinis, Jennifer S ^b  

^a University of South Florida   (United States)

^b H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

Author keywords

Breast tumor subregions; DCE MRI; Estrogen receptor; Heterogeneity; Textural kinetics

Indexed keywords

ALGORITHMS; CYBERNETICS; KINETICS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; TUMORS;

BREAST TUMOR; CLASSIFICATION ACCURACY; CONTRAST ENHANCEMENT; DCE-MRI; DYNAMIC CONTRAST ENHANCED MAGNETIC RESONANCE IMAGING; ESTROGEN RECEPTOR; HETEROGENEITY; TWO DIMENSIONAL (2-D) SLICES;

CLASSIFICATION (OF INFORMATION);

EID: 84938150965     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/smc.2014.6974323     Document Type: Conference Paper

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