Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis
Abstract 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 relies heavily on the technician’s exper...
| الحاوية / القاعدة: | Scientific Reports |
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| المؤلفون الرئيسيون: | , , , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Nature Portfolio
2025-05-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41598-025-04626-9 |