MRI-based deep transfer learning models for predicting progesterone receptor expression in meningioma

MRI-based deep transfer learning models for predicting progesterone receptor expression in meningioma

ObjectivesThe progesterone receptor (PR) is an important biomarker in meningiomas, influencing tumor growth, prognosis, and potential treatment options. The objective of this study was to predict PR expression in meningioma via deep transfer learning (DTL).MethodsA total of 307 patients were include...

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Bibliographic Details
Main Authors: Song Gao, Li Zhao, Nan Li, Xiaoming Zhou, Chongfeng Duan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Oncology
Subjects:
meningioma
progesterone receptor
magnetic resonance imaging
deep transfer learning
predict
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1517205/full
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