A novel fuzzy based framework for detection of clustered microcalcification in mammograms

2010 IEEE World Congress on Computational Intelligence, WCCI 2010

Volumn , Issue , 2010, Pages

  Sahba, Farhang ^a   Venetsanopoulos, Anastasios ^b  

^a RYERSON UNIVERSITY   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

Computeraided detection; Fuzzy contrast adaptation; Fuzzy set type II; Mammography images; Microcalcification clusters

Indexed keywords

AUTOMATIC DETECTION; BREAST CANCER DIAGNOSIS; BRIGHT SPOTS; CLUSTERED MICROCALCIFICATIONS; COMPUTER-AIDED DETECTION; CONTRAST ADAPTATION; FUZZY-BASED METHODS; LOCAL IMAGE CHARACTERISTIC; LOW CONTRAST; MAMMOGRAPHIC IMAGES; MAMMOGRAPHY IMAGES; MICROCALCIFICATION CLUSTERS; MICROCALCIFICATIONS; NORMAL TISSUE; THRESHOLDING METHODS; TYPE II;

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED DIAGNOSIS; FUZZY SETS; MAMMOGRAPHY; X RAY SCREENS;

CALCIFICATION (BIOCHEMISTRY);

EID: 78549285648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2010.5584824     Document Type: Conference Paper

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