Assessment of brain tumor detection techniques and recommendation of neural network.

Journal: Biomedizinische Technik. Biomedical engineering
Published Date: Jan 30, 2024

Abstract

OBJECTIVES: Brain tumor classification is amongst the most complex and challenging jobs in the computer domain. The latest advances in brain tumor detection systems (BTDS) are presented as they can inspire new researchers to deliver new architectures for effective and efficient tumor detection. Here, the data of the multi-modal brain tumor segmentation task is employed, which has been registered, skull stripped, and histogram matching is conducted with the ferrous volume of high contrast.

Authors

  • Sandeep Dwarkanath Pande
    MIT Academy of Engineering, Pune, India.
  • Shaik Hasane Ahammad
    Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
  • Boddapati Taraka Phan Madhav
    Department of Computer Engineering, Indira College of Engineering and Management, Pune, MH, India.
  • Kalangi Ruth Ramya
    Department of Computer Engineering, Indira College of Engineering and Management, Pune, MH, India.
  • Lassaad K Smirani
    Deanship of Information Technology, Umm Al-Qura University, Makkah, Saudi Arabia.
  • Md Amzad Hossain
    United Graduate School of Agricultural Sciences, Kagoshima University, Kagoshima, 890-0065, Japan.
  • Ahmed Nabih Zaki Rashed
    Electronics and Electrical Communications Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.

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