Neglectable effect of brain MRI data prepreprocessing for tumor segmentation

@article{Kondrateva2022NeglectableEO,
  title={Neglectable effect of brain MRI data prepreprocessing for tumor segmentation},
  author={Ekaterina Kondrateva and Polina Druzhinina and Alexandra Dalechina and Boris Shirokikh and Mikhail Belyaev and Anvar Kurmukov},
  journal={ArXiv},
  year={2022},
  volume={abs/2204.05278}
}
. Magnetic resonance imaging (MRI) data is heterogeneous due to the differences in device manufacturers, scanning protocols, and inter-subject variability. A conventional way to mitigate MR image heterogeneity is to apply preprocessing transformations, such as anatomy alignment, voxel resampling, signal intensity equalization, image denoising, and localization of regions of interest (ROI). Although preprocessing pipeline standardizes image appearance, its influence on the quality of image… 

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