A computer-aided system for malignancy risk assessment of nodules in thyroid US images based on boundary features

Computer Methods and Programs in Biomedicine

Volumn 96, Issue 1, 2009, Pages 25-32

  Savelonas, Michalis ^a   Maroulis, Dimitris ^a   Sangriotis, Manolis ^a  

^a UNIVERSITY OF ATHENS   (Greece)

Author keywords

Boundary features; Computer aided diagnosis; Thyroid nodules; Ultrasound

Indexed keywords

BOUNDARY FEATURES; BOUNDARY IRREGULARITIES; CLASSIFICATION RESULTS; CLASSIFICATION TASKS; COMPUTER-AIDED SYSTEMS; COMPUTER-BASED APPROACH; ECHOGENICITY; FEATURE VECTORS; K-NEAREST NEIGHBORS; MEDICAL LITERATURES; RECEIVER OPERATING CHARACTERISTICS; THYROID NODULE; THYROID NODULES; ULTRASOUND; ULTRASOUND IMAGES;

ACOUSTIC WAVES; MAMMOGRAPHY; REGRESSION ANALYSIS; RISK ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; ULTRASONIC IMAGING; ULTRASONICS;

COMPUTER AIDED DIAGNOSIS;

ANALYSIS OF VARIANCE; ARTICLE; CANCER RISK; COMPUTER ASSISTED RADIOGRAPHY; CONTROLLED STUDY; DIFFERENTIAL DIAGNOSIS; ECHOGRAPHY; HUMAN; IMAGE ANALYSIS; K NEAREST NEIGHBOR; MAJOR CLINICAL STUDY; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SUPPORT VECTOR MACHINE; THYROID CANCER; THYROID NODULE;

FRACTALS; HUMANS; RISK ASSESSMENT; THYROID GLAND; THYROID NEOPLASMS;

EID: 67650685880     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2009.04.001     Document Type: Article

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