Artificial neural network models for the preoperative discrimination between malignant and benign adnexal masses

Ultrasound in Obstetrics and Gynecology

Volumn 13, Issue 1, 1999, Pages 17-25

  Timmerman, D ^a   Verrelst, H ^b   Bourne, T H ^c   De Moor, B ^b   Collins, W P ^d   Vergote, I ^a   Vandewalle, J ^b  

^a UNIVERSITY HOSPITALS LEUVEN   (Belgium)

^b Katholieke Universiteit Leuven   (Belgium)

^c ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

^d KING S COLLEGE HOSPITAL   (United Kingdom)

Author keywords

CA 125; Color Doppler imaging; Neural networks; Ovarian carcinoma; Ultrasonography

Indexed keywords

CA 125 ANTIGEN;

ADNEXA DISEASE; ADULT; AGE; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BENIGN TUMOR; CANCER INVASION; CANCER STAGING; CLINICAL FEATURE; CLINICAL TRIAL; COLOR ULTRASOUND FLOWMETRY; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIFFERENTIAL DIAGNOSIS; FEMALE; HISTOLOGY; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; MENOPAUSE; POSTMENOPAUSE; PREDICTION; PREMENOPAUSE; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; TRANSVAGINAL ECHOGRAPHY; TUMOR DIAGNOSIS;

ADNEXAL DISEASES; ADULT; AGED; AGED, 80 AND OVER; CA-125 ANTIGEN; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; ENDOSONOGRAPHY; FEMALE; HUMANS; MIDDLE AGED; NEOPLASM STAGING; NEURAL NETWORKS (COMPUTER); OVARIAN NEOPLASMS; PREDICTIVE VALUE OF TESTS; PREOPERATIVE CARE; PROSPECTIVE STUDIES; RANDOM ALLOCATION; REPRODUCIBILITY OF RESULTS; ROC CURVE; ULTRASONOGRAPHY, DOPPLER, COLOR; VAGINA;

EID: 0032977423     PISSN: 09607692     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1469-0705.1999.13010017.x     Document Type: Article

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