Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI

@article{Jin2020MultiresolutionSL,
  title={Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI},
  author={Jin Jin and Lin Zhang and Ethan Leng and Gregory J. Metzger and Joseph S. Koopmeiners},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.00816}
}
While current research has shown the importance of Multi-parametric MRI (mpMRI) in diagnosing prostate cancer (PCa), further investigation is needed for how to incorporate the specific structures of the mpMRI data, such as the regional heterogeneity and between-voxel correlation within a subject. This paper proposes a machine learning-based method for improved voxel-wise PCa classification by taking into account the unique structures of the data. We propose a multi-resolution modeling approach… 

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