Transformer‐based deep learning for predicting brain tumor recurrence using magnetic resonance imaging

The Transformer-based DL model developed in this study serves as a reliable prognostic tool for predicting brain tumor recurrence following radiotherapy. It demonstrated superior performance compared to nine established prognostic models, including various deep learning architectures and radiomics-based methods, and holds the potential to guide personalized treatment strategies for brain tumor patients.

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Publication Details

Journal
Medical Physics
Published
2025-09-25
DOI
https://doi.org/10.1002/mp.70016
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

Transformer‐based deep learning for predicting brain tumor recurrence using magnetic resonance imaging

Meiling Feng, Xuwei Tian, Xiaoyu Li, Qing Zhou et al.
2 citations
Medical Physics
Radiomics and Machine Learning in Medical Imaging
2.72
article

Transformer‐based deep learning for predicting brain tumor recurrence using magnetic resonance imaging

Meiling Feng, Xuwei Tian, Xiaoyu Li, Qing Zhou, Lintao Li, Desheng Zheng
article en
2 citations

Abstract

The Transformer-based DL model developed in this study serves as a reliable prognostic tool for predicting brain tumor recurrence following radiotherapy. It demonstrated superior performance compared to nine established prognostic models, including various deep learning architectures and radiomics-based methods, and holds the potential to guide personalized treatment strategies for brain tumor patients.

Medical PhysicsVol. 52(10)
University of Electronic Science and Technology of China (CN), North China Electric Power University (CN), Southwest Petroleum University (CN), Institute of Electronics (CN), Sichuan Cancer Hospital (CN), Science and Technology Department of Sichuan Province (CN), Kashi University (CN)
Openalex Percentile: Top 9%
Radiomics and Machine Learning in Medical Imaging
2.72
DOISourceOpenAlex
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Transformer‐based deep learning for predicting brain tumor recurrence using magnetic resonance imaging — Meiling Feng, Xuwei Tian, et al. · Medical Physics (2025) | TGRS Research Map | TGRS