Breast cancer detection from MR images through an auto-probing discrete Fourier transform system

Computers in Biology and Medicine

Volumn 49, Issue 1, 2014, Pages 46-59

  Sim, K S ^a   Chia, F K ^a   Nia, M E ^a   Tso, C P ^a   Chong, A K ^a   Abbas, Siti Fathimah ^a   Chong, S S ^a  

^a MULTIMEDIA UNIVERSITY   (Malaysia)

Author keywords

Breast cancer detection; Discrete fourier transform; Lesion segmentation; Magnetic resonance imaging

Indexed keywords

DISEASES; MAGNETIC RESONANCE IMAGING; MAMMOGRAPHY;

BREAST CANCER DETECTION; BREAST LESION; COMPUTER-AIDED DETECTION; DYNAMIC CONTRAST ENHANCED MAGNETIC RESONANCE IMAGING; FALSE POSITIVE DETECTION; LESION SEGMENTATIONS; MULTIPLE VIEWS; REGION OF INTEREST;

DISCRETE FOURIER TRANSFORMS;

ADULT; AGED; ARTICLE; BREAST CARCINOMA; CANCER DIAGNOSIS; COMPUTER AIDED DETECTION AUTO PROBING SYSTEM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; DUCTAL CARCINOMA; DUCTAL PAPILLOMATOSIS; FEMALE; FOURIER TRANSFORMATION; HUMAN; INTRADUCTAL CARCINOMA; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; RADIOLOGIST; SCIRRHOUS CARCINOMA; TUMOR BIOPSY; BREAST; BREAST NEOPLASMS; FOURIER ANALYSIS; MIDDLE AGED; PATHOLOGY; PROCEDURES; THREE DIMENSIONAL IMAGING;

ADULT; AGED; BREAST; BREAST NEOPLASMS; FEMALE; FOURIER ANALYSIS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MIDDLE AGED;

EID: 84898655021     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2014.03.003     Document Type: Article

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