TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification-Reference-Cited by-同舟云学术

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TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification

Published:2024 Issue: Volume:12 Page:103060-103081
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nag Anindya¹,Mondal Hirak²,Mehedi Hassan Md¹^ORCID,Al-Shehari Taher³^ORCID,Kadrie Mohammed³^ORCID,Al-Razgan Muna⁴^ORCID,Alfakih Taha⁵^ORCID,Biswas Sujit⁶,Kumar Bairagi Anupam¹^ORCID

Affiliation:

1. Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh

2. Department of Computer Science and Engineering, North Western University, Khulna, Bangladesh

3. Department of Self-Development Skill, Common First Year Deanship, King Saud University, Riyadh, Saudi Arabia

4. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

5. Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

6. Department of Computer Science, City, University of London, London, U.K.

Funder

King Saud University, Riyadh, Saudi Arabia, through the Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10600471.pdf?arnumber=10600471

Reference57 articles.

1. Classification using deep learning neural networks for brain tumors

2. Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods

3. Brain Tumor Detection by using Artificial Neural Network

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