Adaptive multi-cluster fuzzy C-means segmentation of breast parenchymal tissue in digital mammography

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 562-569

  Keller, Brad ^a   Nathan, Diane ^a   Wang, Yan ^a   Zheng, Yuanjie ^a   Gee, James ^a   Conant, Emily ^a   Kontos, Despina ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

breast cancer; breast cancer risk estimation; imaging biomarker; mammography; percent breast density

Indexed keywords

ADAPTIVE FCM; BREAST CANCER; BREAST CANCER RISK ESTIMATIONS; BREAST DENSITY; CLINICAL APPLICATION; DIGITAL MAMMOGRAMS; DIGITAL MAMMOGRAPHY; FIBROGLANDULAR TISSUE; FUZZY C MEAN; FUZZY C-MEANS ALGORITHMS; IMAGING CHARACTERISTICS; LINEAR DISCRIMINANT ANALYSIS; MULTI-CLASS; OPTIMAL NUMBER; PARENCHYMAL TISSUE; RISK FACTORS; SEMI-AUTOMATED; SPATIAL SIMILARITY; STRONG CORRELATION; TISSUE PROPERTIES; VISUAL ASSESSMENTS;

ADAPTIVE ALGORITHMS; AGGLOMERATION; CLUSTER COMPUTING; DISCRIMINANT ANALYSIS; DISEASES; FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE SEGMENTATION; MAMMOGRAPHY; MEDICAL COMPUTING; OPTIMIZATION; RADIOLOGY; TISSUE; X RAY SCREENS;

CLUSTERING ALGORITHMS;

BIOLOGICAL MARKER;

ALGORITHM; ARTICLE; AUTOMATION; BREAST; BREAST TUMOR; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; FEMALE; FUZZY LOGIC; HUMAN; MAMMOGRAPHY; METABOLISM; METHODOLOGY; NORMAL DISTRIBUTION; OBSERVER VARIATION; PATHOLOGY;

ALGORITHMS; AUTOMATION; BIOLOGICAL MARKERS; BREAST; BREAST NEOPLASMS; CLUSTER ANALYSIS; DIAGNOSTIC IMAGING; FEMALE; FUZZY LOGIC; HUMANS; MAMMOGRAPHY; NORMAL DISTRIBUTION; OBSERVER VARIATION; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 82255183274     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_69     Document Type: Conference Paper

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