Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.

Journal: IEEE journal of translational engineering in health and medicine
Published Date:

Abstract

BACKGROUND: Detection and segmentation of brain tumors using MR images are challenging and valuable tasks in the medical field. Early diagnosing and localizing of brain tumors can save lives and provide timely options for physicians to select efficient treatment plans. Deep learning approaches have attracted researchers in medical imaging due to their capacity, performance, and potential to assist in accurate diagnosis, prognosis, and medical treatment technologies.

Authors

  • Mohammad Ashraf Ottom
    Department of Information SystemsYarmouk University Irbid 21163 Jordan.
  • Hanif Abdul Rahman
    Statistics Online Computational ResourceDepartments of Health Behavior and Biological Sciences and Computational Medicine and BioinformaticsUniversity of Michigan Ann Arbor MI 48109 USA.
  • Ivo D Dinov
    Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA; Statistics Online Computational Resource, Department of Health Behavior and Biological, University of Michigan, Ann Arbor, MI, USA.