Prediction of microsatellite instability in rectal cancer using MRI radiomics models based on multiple machine learning algorithms

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- Prediction of microsatellite instability in rectal cancer using MRI radiomics models based on multiple machine learning algorithms
- “The research team of the First Affiliated Hospital of Bengbu Medical University utilized multi parameter MRI radiomics features and machine learning algorithms to construct a model for predicting microsatellite instability in rectal cancer, demonstrating high diagnostic efficiency.”
- Oncoradiology Vol. 33, Issue 6, Pages: 577-585(2024)
- 作者机构：
  
  蚌埠医科大学第一附属医院放射科，安徽蚌埠 233000
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2024.06.002
  CLC：
- Received：06 September 2024，
  
  Published Online：02 January 2025，
  
  Published：28 December 2024
- 稿件说明：
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Lu LI, Wen BU, Qiaoyu SUN, et al. Prediction of microsatellite instability in rectal cancer using MRI radiomics models based on multiple machine learning algorithms[J]. Oncoradiology, 2024, 33(6): 577-585.
DOI：

Lu LI, Wen BU, Qiaoyu SUN, et al. Prediction of microsatellite instability in rectal cancer using MRI radiomics models based on multiple machine learning algorithms[J]. Oncoradiology, 2024, 33(6): 577-585. DOI： 10.19732/j.cnki.2096-6210.2024.06.002.

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