Reducing false negatives in clinical practice: The role of neural network technology

American Journal of Obstetrics and Gynecology

Volumn 175, Issue 4 II SUPPL., 1996, Pages 1114-1119

  Mango, L J ^a  

^a BD Technologies   (United States)

Author keywords

cervical cytology; false negative smear; neural networks; Papanicolaou's smear; PAPNET

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CANCER GRADING; CANCER SCREENING; CLINICAL PRACTICE; COST EFFECTIVENESS ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; FEMALE; HUMAN; LABORATORY AUTOMATION; LABORATORY DIAGNOSIS; MICROSCOPY; PAPANICOLAOU TEST; PRIORITY JOURNAL; REVIEW; UTERINE CERVIX CANCER; UTERINE CERVIX CYTOLOGY;

EID: 0029993887     PISSN: 00029378     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0002-9378(96)70014-5     Document Type: Review

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