Detection of Basal Cell Carcinoma Using Electrical Impedance and Neural Networks

IEEE Transactions on Biomedical Engineering

Volumn 51, Issue 1, 2004, Pages 66-71

  Dua, Rohit ^a   Beetner, Daryl G ^a   Stoecker, William V ^b   Wunsch II, Donald C ^a  

^a MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

^b The Dermatology Center   (United States)

Author keywords

Basal cell carcinoma; Bioimpedance; Frequency; Resistivity; Tissue characterization

Indexed keywords

BACKPROPAGATION; CLINICAL LABORATORIES; ELECTRIC IMPEDANCE; SKIN; TUMORS;

SKIN LESIONS;

CELLULAR NEURAL NETWORKS;

DIAGNOSTIC AGENT;

ACCURACY; ACTINIC KERATOSIS; ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BASAL CELL CARCINOMA; BENIGN TUMOR; CHROMOMYCOSIS; CLASSIFICATION; CLINICAL ARTICLE; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC PROCEDURE; FEASIBILITY STUDY; HUMAN; IMPEDANCE; IN VIVO STUDY; METHODOLOGY; NEVUS; PATHOPHYSIOLOGY; POLYP; PRECANCER; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SEBORRHEIC KERATOSIS; SENSITIVITY AND SPECIFICITY; SKIN; SKIN TUMOR; TRANSDUCER;

ALGORITHMS; CARCINOMA, BASAL CELL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTRIC IMPEDANCE; FEASIBILITY STUDIES; HUMANS; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN; SKIN NEOPLASMS; TRANSDUCERS;

EID: 0346887208     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2003.820387     Document Type: Article

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