Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks.

Journal: Medical physics
Published Date: Sep 1, 2017

Abstract

PURPOSE: Colitis refers to inflammation of the inner lining of the colon that is frequently associated with infection and allergic reactions. In this paper, we propose deep convolutional neural networks methods for lesion-level colitis detection and a support vector machine (SVM) classifier for patient-level colitis diagnosis on routine abdominal CT scans.

Authors

  • Jiamin Liu
  • David Wang
    Imaging Biomarkers and Computer-aided Diagnosis Laboratory and Clinical Image Processing Service, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892-1182, USA.
  • Le Lu
  • Zhuoshi Wei
    Imaging Biomarkers and Computer-aided Diagnosis Laboratory and Clinical Image Processing Service, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892-1182, USA.
  • Lauren Kim
  • Evrim B Turkbey
    Imaging Biomarkers and Computer-aided Diagnosis Laboratory and Clinical Image Processing Service, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892-1182, USA.
  • Berkman Sahiner
    Food and Drug Administration/CDRH, Silver Spring, USA.
  • Nicholas A Petrick
    Food and Drug Administration/CDRH, Silver Spring, USA.
  • Ronald M Summers
    National Institutes of Health, Clinical Center, Radiology and Imaging Sciences, 10 Center Drive, Bethesda, MD 20892, USA.

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