Brain Tumor Classification and Detection Based DL Models: A Systematic Review-Reference-Cited by-同舟云学术

Brain Tumor Classification and Detection Based DL Models: A Systematic Review

Published:2024 Issue: Volume:12 Page:2517-2542
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Neamah Karrar¹,Mohamed Farhan²^ORCID,Adnan Myasar Mundher³^ORCID,Saba Tanzila⁴^ORCID,Bahaj Saeed Ali⁵^ORCID,Kadhim Karrar Abdulameer¹^ORCID,Khan Amjad Rehman⁴^ORCID

Affiliation:

1. Faculty of Engineering, School of Computing, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia

2. UTM-IRDA MaGICX, Institute of Human Centered Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia

3. Department of Computer Science, Islamic University of Najaf, Najaf, Iraq

4. Artificial Intelligence and Data Analytics Laboratory, CCIS, Prince Sultan University, Riyadh, Saudi Arabia

5. MIS Department, College of Business Administration, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Funder

Artificial Intelligence and Data Analytics (AIDA) Laboratory, College of Computer & Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10374324.pdf?arnumber=10374324

Reference108 articles.

1. Brain tumor detection using deep learning;Nanware;Int. J. Sci. Res. Eng. Develop.,2020

2. Role of deep learning in brain tumor detection and classification (2015 to 2020): A review

3. Feature enhancement framework for brain tumor segmentation and classification

4. Melanoma Skin Cancer Classification based on CNN Deep Learning Algorithms

5. A novel medical image enhancement technique based on hybrid method

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