Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification-Reference-Cited by-同舟云学术

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Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification

Published:2024 Issue: Volume:12 Page:42868-42887
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Asiri Abdullah A.¹^ORCID,Soomro Toufique Ahmed²^ORCID,Shah Ahmed Ali³^ORCID,Pogrebna Ganna⁴,Irfan Muhammad⁵^ORCID,Alqahtani Saeed¹^ORCID

Affiliation:

1. Radiological Sciences Department, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia

2. Department of Electronic Engineering, The University of Larkano (UOL), Larkana, Pakistan

3. Electrical Engineering Department, Sukkur IBA University, Sukkur, Pakistan

4. Artificial Intelligence and Cyber Futures Institute, Charles Sturt University, Bathurst, NSW, Australia

5. Electrical Engineering Department, College of Engineering, Najran University, Najran, Saudi Arabia

Funder

Deanship of Scientific Research, Najran University, Kingdom of Saudi Arabia

National Research Priorities and Najran Area Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10476596.pdf?arnumber=10476596

Reference58 articles.

1. The association between incidence and mortality of brain cancer and human development index (HDI): an ecological study

2. Imaging techniques in neuro-oncology

3. Relationship of T2-Weighted MRI Myocardial Hyperintensity and the Ischemic Area-At-Risk

4. Brain Tumor Segmentation Based on Improved Convolutional Neural Network in Combination with Non-quantifiable Local Texture Feature

5. An overview of deep learning in medical imaging focusing on MRI

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1. SWIN BTS Using Deep Learning;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

2. Edge‐Preserved Tversky Indexive Hellinger with Deep Perceptive Czekanowski‐Based Image Classification;Journal of Sensors;2024-01

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