Noninvasive grading of glioma brain tumors using magnetic resonance imaging and deep learning methods.

Journal: Journal of cancer research and clinical oncology
Published Date: Sep 12, 2023

Abstract

PURPOSE: Convolutional Neural Networks (ConvNets) have quickly become popular machine learning techniques in recent years, particularly in the classification and segmentation of medical images. One of the most prevalent types of brain cancers is glioma, and early, accurate diagnosis is essential for both treatment and survival. In this study, MRI scans were examined utilizing deep learning techniques to examine glioma diagnosis studies.

Authors

  • Guanghui Song
    School of Computer and Data Engineering, Ningbo Tech University, Ningbo, 315100, Zhejiang, China. songnbt@nbt.edu.cn.
  • Guanbao Xie
    School of Computer and Data Engineering, Ningbo Tech University, Ningbo, 315100, Zhejiang, China.
  • Yan Nie
    College of Science & Technology, Ningbo University, Ningbo, 315100, Zhejiang, China.
  • Mohammed Sh Majid
    Computer Techniques Engineering Department, Al-Mustaqbal University College, Babylon, 51001, Iraq.
  • Iman Yavari
    School of Computing and Technology, Eastern Mediterranean University, Northern Cyprus, Famagusta, Cyprus. imanmk2@gmail.com.

Keywords

External Resources

Popular Topics
Recent Journals