Sonographic prediction of malignancy in adnexal masses using an artificial neural network

BJOG: An International Journal of Obstetrics and Gynaecology

Volumn 106, Issue 1, 1999, Pages 21-30

  Tailor, Anil ^a   Jurkovic, Davor ^a   Bourne, Thomas H ^b   Collins, William P ^a   Campbell, Stuart ^b  

^a KING'S COLLEGE LONDON   (United Kingdom)

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

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; B SCAN; BENIGN TUMOR; BLOOD FLOW VELOCITY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MENOPAUSE; OVARY CANCER; OVARY TUMOR; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RETROSPECTIVE STUDY; TRANSVAGINAL ECHOGRAPHY; TUMOR VOLUME; WAVEFORM;

ADNEXAL DISEASES; ADULT; AGED; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); OVARIAN NEOPLASMS; RETROSPECTIVE STUDIES; RISK FACTORS; ROC CURVE; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, DOPPLER, COLOR;

EID: 0032893411     PISSN: 14700328     EISSN: 14710528     Source Type: Journal    
DOI: 10.1111/j.1471-0528.1999.tb08080.x     Document Type: Article

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