Diagnostic accuracy of artificial intelligence in detection of ovarian cancer—a pilot study
ObjectiveTo investigate a panel of variables using four machine learning based classifiers, i.e., support vector machine (SVM), random forest (RF), artificial neural network (ANN) and logistic regression (LR) to make a diagnosis of ovarian cancer, differentiating it from benign ovarian masses.Materi...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2026-02-01
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| Серии: | Frontiers in Medicine |
| Предметы: | |
| Online-ссылка: | https://www.frontiersin.org/articles/10.3389/fmed.2026.1729412/full |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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