Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting Strategies.

Journal: Current medical imaging reviews
Published Date: Jan 1, 2019

Abstract

BACKGROUND: Brain tumor is the leading cause of death worldwide. It is obvious that the chances of survival can be increased if the tumor is identified and properly classified at an initial stage. MRI (Magnetic Resonance Imaging) is one source of brain tumors detection tool and is extensively used in the diagnosis of brain to detect blood clots. In the past, many researchers developed Computer-Aided Diagnosis (CAD) systems that help the radiologist to detect the abnormalities in an efficient manner.

Authors

  • Lal Hussain
    Department of Computer Sciences & Information Technology, University of Azad Jammu and Kashmir, City Campus 13100, Muzaffarabad, Azad Kashmir, Pakistan.
  • Sharjil Saeed
    Department of Computer Sciences & Information Technology, University of Azad Jammu and Kashmir, City Campus 13100, Muzaffarabad, Azad Kashmir, Pakistan.
  • Imtiaz Ahmed Awan
    Department of Computer Sciences & Information Technology, University of Azad Jammu and Kashmir, City Campus 13100, Muzaffarabad, Azad Kashmir, Pakistan.
  • Adnan Idris
    Department of Computer Sciences & Information Technology, University of Poonch Rawalakot, Rawalakot, Pakistan.
  • Malik Sajjad Ahmed Nadeem
    Department of Computer Sciences & Information Technology, University of Azad Jammu and Kashmir, City Campus 13100, Muzaffarabad, Azad Kashmir, Pakistan.
  • Qurat-Ul-Ain Chaudhry
    Department of Computer Sciences & Information Technology, University of Azad Jammu and Kashmir, City Campus 13100, Muzaffarabad, Azad Kashmir, Pakistan.

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