Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models

PURPOSE: This study aimed to evaluate the potential of machine learning-based models for predicting carcinogenic human papillomavirus (HPV) oncogene types using radiomics features from magnetic resonance imaging (MRI). METHODS: Pre-treatment MRI images of patients with cervical cancer were collected...

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Detalles Bibliográficos
Autores principales: İnce, Okan, Uysal, Emre, Durak, Görkem, Önol, Suzan, Dönmez Yılmaz, Binnur, Ertürk, Şükrü Mehmet, Önder, Hakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2023
Materias:
Artificial Intelligence and Informatics - Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679607/
https://www.ncbi.nlm.nih.gov/pubmed/36994859
http://dx.doi.org/10.4274/dir.2022.221335

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679607/
https://www.ncbi.nlm.nih.gov/pubmed/36994859
http://dx.doi.org/10.4274/dir.2022.221335

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