Towards accurate segmentation of fibroglandular tissue in breast MRI using fuzzy C-Means and Skin-Folds removal

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9279, Issue , 2015, Pages 528-536

  Razavi, Mohammad ^a   Wang, Lei ^a   Gubern M�rida, Albert ^b   Ivanovska, Tatyana ^c   Laue, Hendrik ^a   Karssemeijer, Nico ^b   Hahn, Horst K ^a  

^a FRAUNHOFER MEVIS   (Germany)

^b RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^c UNIVERSITY OF GREIFSWALD   (Germany)

Author keywords

Breast; Fibroglandular; MRI; Skin folds

Indexed keywords

FUZZY SYSTEMS; IMAGE ANALYSIS; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

BIAS FIELD CORRECTIONS; BREAST; BREAST CANCER RISK; DENSITY ESTIMATION; FIBROGLANDULAR; FIBROGLANDULAR TISSUE; READER VARIABILITY; SIMILARITY COEFFICIENTS;

TISSUE;

EID: 84944768883     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-23231-7_47     Document Type: Conference Paper

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