A new feature extraction framework based on wavelets for breast cancer diagnosis

Computers in Biology and Medicine

Volumn 51, Issue , 2014, Pages 171-182

  Ergin, Semih ^a   Kilic, Onur ^b  

^a ESKISEHIR OSMANGAZI UNIVERSITY   (Turkey)

^b UNIVERSITY OF PARDUBICE   (Czech Republic)

Author keywords

Breast cancer; Computer aided diagnosis; Digital mammography; Feature extraction

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DECISION TREES; FEATURE EXTRACTION; SUPPORT VECTOR MACHINES; TISSUE;

BREAST CANCER; BREAST CANCER DIAGNOSIS; CLASSIFICATION ACCURACY; DIGITAL MAMMOGRAPHY; FISHER LINEAR DISCRIMINANT ANALYSIS; HISTOGRAM OF ORIENTED GRADIENTS (HOG); K-NEAREST NEIGHBORHOODS; SCALE INVARIANT FEATURE TRANSFORMS;

DISEASES;

ARTICLE; AUTOMATED PATTERN RECOGNITION; BENIGN TUMOR; BREAST CANCER; CANCER DIAGNOSIS; CONTROLLED STUDY; DECISION TREE; DENSE SCALE INVARIANT FEATURE TRANSFORM; DIAGNOSTIC ACCURACY; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION FRAMEWORK; FISHER LINEAR DISCRIMINANT ANALYSIS; HISTOGRAM; HISTOGRAM OF ORIENTED GRADIENT; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE RETRIEVAL; K NEAREST NEIGHBOR; LOCAL CONFIGURATION PATTERN; MALIGNANT NEOPLASTIC DISEASE; MAMMOGRAPHY; PRIORITY JOURNAL; REFERENCE DATABASE; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; PROCEDURES; RADIOGRAPHY;

BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAMMOGRAPHY; SUPPORT VECTOR MACHINES;

EID: 84902573972     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2014.05.008     Document Type: Article

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