Segmentation and classification of brain tumors using fuzzy 3D highlighting and machine learning.

Journal: Journal of cancer research and clinical oncology
Published Date:

Abstract

PURPOSE: Brain tumors are among the most lethal forms of cancer, so early diagnosis is crucial. As a result of machine learning algorithms, radiologists can now make accurate diagnoses of tumors without resorting to invasive procedures. There are, however, a number of obstacles to overcome. To begin, classifying brain tumors presents a significant difficulty in developing the most effective deep learning framework. Furthermore, physically dividing the brain tumor is a time-consuming and challenging process that requires the expertise of medical professionals.

Authors

  • Khalil Mowlani
    Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran.
  • Mehdi Jafari Shahbazzadeh
    Department of Electrical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran. mjafari@iauk.ac.ir.
  • Maliheh Hashemipour
    Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran.