Machine-learning-based contrast-enhanced computed tomography radiomic analysis for categorization of ovarian tumors

OBJECTIVES: This study aims to evaluate the diagnostic performance of machine-learning-based contrast-enhanced CT radiomic analysis for categorizing benign and malignant ovarian tumors. METHODS: A total of 1,329 patients with ovarian tumors were randomly divided into a training cohort (N=930) and a...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jiaojiao, Zhang, Tianzhu, Ma, Juanwei, Zhang, Ningnannan, Zhang, Zhang, Ye, Zhaoxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395674/
https://www.ncbi.nlm.nih.gov/pubmed/36016613
http://dx.doi.org/10.3389/fonc.2022.934735

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395674/
https://www.ncbi.nlm.nih.gov/pubmed/36016613
http://dx.doi.org/10.3389/fonc.2022.934735

Ejemplares similares