Mammographical mass detection and classification using Local Seed Region Growing-Spherical Wavelet Transform (LSRG-SWT) hybrid scheme

Computers in Biology and Medicine

Volumn 43, Issue 6, 2013, Pages 765-774

  Görgel, Pelin ^a   Sertbas, Ahmet ^a   Ucan, Osman N ^b  

^a ISTANBUL UNIVERSITY   (Turkey)

^b ISTANBUL AYDIN UNIVERSITY   (Turkey)

Author keywords

Breast cancer; Homomorphic filtering; Image enhancement; Local Seed Region Growing (LSRG); Spherical Wavelet Transform (SWT); Support Vector Machines (SVM); Tumor classification

Indexed keywords

BREAST CANCER; HOMOMORPHIC FILTERING; REGION GROWING; SPHERICAL WAVELETS; TUMOR CLASSIFICATION;

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ENHANCEMENT; MAMMOGRAPHY; SPHERES; WAVELET TRANSFORMS; X RAY SCREENS;

SUPPORT VECTOR MACHINES;

ARTICLE; BENIGN TUMOR; BREAST TUMOR; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DATA BASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIFFERENTIAL DIAGNOSIS; EXTERNAL VALIDITY; HUMAN; LOCAL SEED REGION GROWING SPHERICAL WAVELET TRANSFORM; MALIGNANT NEOPLASTIC DISEASE; MAMMOGRAPHY; MEDICAL SOCIETY; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; TURKEY (REPUBLIC); VALIDATION PROCESS; WAVELET ANALYSIS;

ALGORITHMS; BREAST NEOPLASMS; DATABASES, FACTUAL; FEMALE; HUMANS; MAMMOGRAPHY; MODELS, THEORETICAL; RADIOGRAPHIC IMAGE ENHANCEMENT; WAVELET ANALYSIS;

EID: 84877720358     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.03.008     Document Type: Article

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