AIMC Topic: Vaginitis

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A Data-Efficient Framework for the Identification of Vaginitis Based on Deep Learning.

Journal of healthcare engineering Feb 27, 2022
Vaginitis is a gynecological disease affecting the health of millions of women all over the world. The traditional diagnosis of vaginitis is based on manual microscopy, which is time-consuming and tedious. The deep learning method offers a fast and r...
Humans Neural Networks, Computer Female Deep Learning Image Processing, Computer-Assisted Microscopy Vaginitis
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Logic regression-derived algorithms for syndromic management of vaginal infections.

BMC medical informatics and decision making Dec 16, 2015
BACKGROUND: Syndromic management of vaginal infections is known to have poor diagnostic accuracy. Logic regression is a machine-learning procedure which allows for the identification of combinations of variables to predict an outcome, such as the pre...
Humans Machine Learning Algorithms Prognosis Female Adult Sensitivity and Specificity India Models, Theoretical Syndrome Vaginitis
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Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis.

Scientific reports May 31, 2025
Vaginitis is a prevalent gynecological condition that impacts women's quality of life, with most women likely to experience it at least once. Traditional diagnosis involves manually observing vaginal discharge samples under a microscope. This process...
Humans Machine Learning Female Young Adult Adult Middle Aged Adolescent Trichomonas vaginalis Vaginitis Vaginosis, Bacterial Vaginal Discharge Gardnerella vaginalis Trichomonas Vaginitis
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