There has been a recent and increasing interest in computer analysis and recognition of human motion. Previously we presented an efficient real-time approach for representing human motion using a compact “Motion History Image” (MHI). Recognition was achieved by statistically matching moment-based features. To address previous problems related to global analysis and limited recognition, we prese...

OBJECTIVES The aim of this study was to evaluate the diagnostic accuracy of sensitivity and specificity of cervical lesions by the low-cost, portable Gynocular colposcope and a stationary colposcope, in women referred for colposcopy with abnormal cervical cytology. METHODS A randomized cross-over clinical trial for evaluating the diagnostic accuracy in detecting cervical lesions by the Gynocu...

The results of a study of a screening test for urinary tract infection (UTI) in infants under 18 months is reported. Two hundred and forty three urine specimens were tested in the laboratory using AMES Multistix 8SG reagent strips read by photometer. The strips included three potential markers for urinary tract infection: leucocyte esterase, nitrite, and protein. The predictive value of a posit...

OBJECTIVE To provide a guideline for managing abnormal cytology results after screening for cervical cancer, to clarify the appropriate algorithms for follow-up after treatment, and to promote the best possible care for women while ensuring efficient use of available resources. OUTCOMES Women with abnormal cytology are at risk of developing cervical cancer; appropriate triage and treatment wi...

This article presents colposcopic image classification based on contour parameters used in a comparison study of different artificial neural networks and the knearest neighbors reference method. In this study, significant image data bases are used (283 samples) from which a set of original parameters is extracted to characterize the attribute of contour. More precisely, we quantify the notion o...

When inducing Decision Trees, Windowing consists in selecting a random subset of the available training instances (the window) to induce a tree, and then enhance it by adding counter examples, i.e., instances not covered by the tree, to the window for inducing a new tree. The process iterates until all instances are well classified or no accuracy is gained. In favorable domains, the technique i...

AIMS The prevalence of cervical cancer in a developing country, and diagnostic therapeutic value of knife conization for CIN, indications, cytopathologic results and complications of conization, were evaluated. METHODS This retrospective- descriptive study concerned 44 cases that underwent conization. RESULTS The age range of patients was 18-75 (mean=43), and parity ranges were from 0-10 (m...

OBJECTIVE To determine women's responses to cervical interrogation by fluorescent and reflective spectroscopy (FRS). MATERIALS AND METHODS A convenience sample of women scheduled for a colposcopic examination was interrogated by a cervical FRS system. Thereafter, women completed a 24-item questionnaire that assessed their responses to the spectroscopic test. Likert-scale responses were compar...