Brain Tumor Automated Detection System Based on Hybrid Deep Learning Networks Using MRI Images-Reference-Cited by-同舟云学术

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Brain Tumor Automated Detection System Based on Hybrid Deep Learning Networks Using MRI Images

Published:2024-07-22 Issue: Volume:18 Page:72-77
ISSN:
Container-title:2024 International Telecommunications Conference (ITC-Egypt)
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Author:

Salama Gerges M.¹,Ashraf Shady¹,Bayoumi Esraa Salah¹,Elwan Mohammed²,Abd-Ellah Mahmoud Khaled³

Affiliation:

1. Minia University,Faculty of Engineering,Department of Electrical Engineering,Minia,Egypt,6111

2. College of Computing and Information Technology, Arab Academy for Science,Giza,Egypt,B 2401

3. Egyptian Russian university,Faculty of Artificial Intelligence,Cairo,Egypt,11829

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10620403/10620452/10620453.pdf?arnumber=10620453

Reference23 articles.

1. The association between incidence and mortality of brain cancer and human development index (HDI): an ecological study;Afshari;BMC Public Health,2018

2. Dynamic Cancer Cell Heterogeneity: Diagnostic and Therapeutic Implications

3. Neuroimaging and neuropathology in brain tumors: The emerging role of precision medicine;Rockne;Cancer Imaging,2023

4. Artificial Intelligence in the Rising Wave of Deep Learning;Kornhauser;IEEE Xplore,2020

5. Data Mining: Concepts and Techniques;Han;Morgan Kaufmann,2011

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