Performance of deep learning in classifying malignant primary and metastatic brain tumors using different MRI sequences: A medical analysis study.

Journal: Journal of X-ray science and technology
Published Date:

Abstract

BACKGROUND: Malignant Primary Brain Tumor (MPBT) and Metastatic Brain Tumor (MBT) are the most common types of brain tumors, which require different management approaches. Magnetic Resonance Imaging (MRI) is the most frequently used modality for assessing the presence of these tumors. The utilization of Deep Learning (DL) is expected to assist clinicians in classifying MPBT and MBT more effectively.

Authors

  • Adam Fauzi
    Study Program of Master in Biomedical Science, Faculty of Medicine, Universitas Brawijaya Malang, Malang, Indonesia.
  • Yuyun Yueniwati
    Department of Physics, Faculty of Mathematics and Natural Sciences, Brawijaya University, Malang, East Java, Indonesia.
  • Agus Naba
    Department of Physics, Faculty of Mathematics and Natural Sciences, Brawijaya University, Malang, East Java, Indonesia.
  • Rachmi Fauziah Rahayu
    Department of Radiology, Faculty of Medicine, Sebelas Maret University, Dr. Moewardi Hospital, Surakarta, Indonesia.