Comparison of 'pattern recognition' and logistic regression models for discrimination between benign and malignant pelvic masses: A prospective cross validation

Ultrasound in Obstetrics and Gynecology

Volumn 18, Issue 4, 2001, Pages 357-365

  Valentin, L ^a   Hagen, B ^b   Tingulstad, S ^a   Eik Nes, S ^a  

^a LUND UNIVERSITY HOSPITAL   (Sweden)

^b TRONDHEIM UNIVERSITY HOSPITAL   (Norway)

Author keywords

Doppler ultrasound; Multiple logistic regression model; Ovarian cancer; Ovarian tumor; Pattern recognition; Pelvic tumor; Ultrasound

Indexed keywords

ADNEXA DISEASE; AREA UNDER THE CURVE; ARTICLE; BENIGN TUMOR; CANCER RISK; COLOR ULTRASOUND FLOWMETRY; COMPARATIVE STUDY; CONTROLLED STUDY; DISEASE COURSE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; MATHEMATICAL ANALYSIS; PATTERN RECOGNITION; PELVIS TUMOR; PRIORITY JOURNAL; PROSPECTIVE STUDY; REGRESSION ANALYSIS; STATISTICAL MODEL; ULTRASOUND;

ADENOFIBROMA; ADULT; AGED; AGED, 80 AND OVER; CYSTADENOCARCINOMA, PAPILLARY; DERMOID CYST; DIAGNOSIS, DIFFERENTIAL; FEMALE; GENITAL DISEASES, FEMALE; HUMANS; LOGISTIC MODELS; MIDDLE AGED; OVARIAN NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; PROSPECTIVE STUDIES; ROC CURVE; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, DOPPLER, COLOR;

EID: 0034774279     PISSN: 09607692     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.0960-7692.2001.00500.x     Document Type: Article

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