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...
Gorde:
| Egile Nagusiak: | , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Frontiers Media S.A.
2026-02-01
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| Saila: | Frontiers in Medicine |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.frontiersin.org/articles/10.3389/fmed.2026.1729412/full |
| Etiketak: |
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