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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...

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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

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