Feasibility study of lesion classification via contrast-agent-aided UWB breast imaging

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 5, 2010, Pages 1003-1007

  Chen, Yifan ^a,b   Craddock, Ian James ^c   Kosmas, Panagiotis ^d  

^a UNIVERSITY OF GREENWICH   (United Kingdom)

^b GUANGXI UNIVERSITY   (China)

^c UNIVERSITY OF BRISTOL   (United Kingdom)

^d KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Breast cancer detection; Contrast agents; Lesion classification; Lesion morphology; Microwave imaging

Indexed keywords

BEFORE AND AFTER; BREAST CANCER DETECTION; BREAST IMAGING; COMPLEX NATURAL RESONANCE; CONTRAST AGENT; DAMPING FACTORS; FEASIBILITY STUDIES; LESION CLASSIFICATION; MALIGNANT MASS; MICROWAVE IMAGING; NORMAL TISSUE; POSSIBLE SOLUTIONS; SIMULATION STUDIES; TARGET RESPONSE; TISSUE DIFFERENTIATION;

BACKSCATTERING; DIELECTRIC PROPERTIES; IMAGING SYSTEMS; MICROWAVES; MORPHOLOGY;

ULTRA-WIDEBAND (UWB);

CONTRAST MEDIUM;

ARTICLE; BENIGN TUMOR; BREAST CANCER; CANCER MORPHOLOGY; DIAGNOSTIC IMAGING; DIELECTRIC CONSTANT; DYSPLASIA; EXPERIMENTAL MODEL; FEASIBILITY STUDY; FEMALE; HUMAN; HUMAN TISSUE; MALIGNANT NEOPLASTIC DISEASE; MICROWAVE RADIATION; SIMULATION; TISSUE DIFFERENTIATION; TUMOR CLASSIFICATION; ULTRA WIDEBAND IMAGING;

BREAST NEOPLASMS; COMPUTER SIMULATION; CONTRAST MEDIA; FEASIBILITY STUDIES; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROWAVES; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77951263693     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2038788     Document Type: Article

References (10)

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