A biologically inspired algorithm for microcalcification cluster detection

Medical Image Analysis

Volumn 10, Issue 6, 2006, Pages 850-862

  Linguraru, Marius George ^a,b   Marias, Kostas ^a,c   English, Ruth ^d   Brady, Michael ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b HARVARD UNIVERSITY   (United States)

^c INSTITUTE OF COMPUTER SCIENCE   (Greece)

^d CHURCHILL HOSPITAL   (United Kingdom)

Author keywords

Anisotropic diffusion; Human visual system; Image normalisation; Microcalcification clusters; X ray mammography

Indexed keywords

ALGORITHMS; ANISOTROPY; ONCOLOGY; SIGNAL FILTERING AND PREDICTION;

ANISOTROPIC DIFFUSION; BREAST CANCER; CURVILINEAR STRUCTURE REMOVAL; IMAGE FILTERING; MICROCALCIFICATION CLUSTER DETECTION;

MAMMOGRAPHY;

ALGORITHM; ANISOTROPY; ARTICLE; AUTOMATION; BREAST CALCIFICATION; BREAST CANCER; CLUSTER ANALYSIS; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIFFUSION; EARLY DIAGNOSIS; FALSE POSITIVE RESULT; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MAMMOGRAPHY; MATHEMATICAL COMPUTING; NORMAL DISTRIBUTION; PRIORITY JOURNAL; PROGNOSIS; RADIATION ATTENUATION; RADIOLOGICAL PARAMETERS; RECEIVER OPERATING CHARACTERISTIC; SIGNAL NOISE RATIO;

ALGORITHMS; BREAST NEOPLASMS; CALCINOSIS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAMMOGRAPHY; ROC CURVE;

EID: 33751331661     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2006.07.004     Document Type: Article

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