Impact of SUSAN Denoising and ComBat Harmonization on Machine Learning Model Performance for Malignant Brain Neoplasms.

Journal: AJNR. American journal of neuroradiology
Published Date: Sep 9, 2024

Abstract

BACKGROUND AND PURPOSE: Feature variability in radiomics studies due to technical and magnet strength parameters is well-known and may be addressed through various preprocessing methods. However, very few studies have evaluated the downstream impact of variable preprocessing on model classification performance in a multiclass setting. We sought to evaluate the impact of Smallest Univalue Segment Assimilating Nucleus (SUSAN) denoising and Combining Batches harmonization on model classification performance.

Authors

  • Girish Bathla
    Mayo Clinic Rochester, Minnesota, USA.
  • Neetu Soni
    University of Rochester Medical Center Rochester, New York, USA.
  • Ian T Mark
    Department of Radiology, Mayo Clinic, Rochester, Minnesota.
  • Yanan Liu
    College of Environmental Science and Engineering, Donghua University, 2999 North Renmin Road, Shanghai 201620, China.
  • Nicholas B Larson
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA.
  • Blake A Kassmeyer
    Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, 200 1st Street SW, Rochester, MN 55902, USA.
  • Suyash Mohan
    Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (J.D.R., L.X., A.K., J.M.E., T.C., I.M.N., S.M., J.C.G.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, Calif (J.D.R., A.M.R.); Penn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, Pa (X.L., J.W.); University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (M.T.D.); Mecklenburg Radiology Associates, Charlotte, NC (E.J.B.); Department of Radiology, University of Texas, Austin, Tex (R.N.B.); and Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pa (I.M.N.).
  • John C Benson
    Department of Radiology, Mayo Clinic, Rochester, Minnesota.
  • Saima Rathore
    DCIS, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan; DCS&IT, University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir. Electronic address: saimarathore_2k6@yahoo.com.
  • Amit K Agarwal
    Department of Radiology (N.S., A.K.A.), Mayo Clinic, Jacksonville, Florida.

Keywords

External Resources

Popular Topics
Recent Journals