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...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Dipanwita Banerjee, Ashok Sharma, Ekta Dhamija, Sahar Qazi, Sandeep R. Mathur, Neerja Bhatla
Format:	Artigo
Sprog:	Inglês
Udgivet:	Frontiers Media S.A. 2026-02-01
Serier:	Frontiers in Medicine
Fag:	AI and ovarian cancer artificial intelligence in ovarian cancer diagnosis of ovarian cancer by artificial intelligence machine learning in ovarian cancer ML in ovarian carcinoma ovarian carcinoma and AI
Online adgang:	https://www.frontiersin.org/articles/10.3389/fmed.2026.1729412/full
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!