Brain Tumor Detection Based on Deep Features Concatenation and Machine Learning Classifiers With Genetic Selection-Reference-Cited by-同舟云学术

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Brain Tumor Detection Based on Deep Features Concatenation and Machine Learning Classifiers With Genetic Selection

Published:2024 Issue: Volume:12 Page:114923-114939
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wageh Mohamed¹^ORCID,Amin Khalid¹,Algarni Abeer D.²,Hamad Ahmed M.¹,Ibrahim Mina³

Affiliation:

1. Department of Information Technology, Faculty of Computers and Information, Menoufia University, Shebeen El-Kom, Menoufia, Egypt

2. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

3. Department of Machine Intelligence, Faculty of Artificial Intelligence, Menoufia University, Shebeen El-Kom, Menoufia, Egypt

Funder

Princess Nourah Bint Abdulrahman University Researchers Supporting Project, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10639386.pdf?arnumber=10639386

Reference48 articles.

1. Intelligent Model for Brain Tumor Identification Using Deep Learning

2. Brain tumor segmentation and classification using DWT, Gabour wavelet and GLCM

3. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

4. [18F]3′-deoxy-3′-fluorothymidine PET for the diagnosis and grading of brain tumors

5. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

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