Hybrid Feature Extraction Approach for Robust Brain Tumor Classification: HOG, GLCM, and Artificial Neural Network-Reference-Cited by-同舟云学术

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Hybrid Feature Extraction Approach for Robust Brain Tumor Classification: HOG, GLCM, and Artificial Neural Network

Published:2024-05-02 Issue: Volume: Page:1292-1297
ISSN:
Container-title:2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
language:
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Author:

Hasan Nowshad¹,Ahmed Mohammad Faisal²,Nasif Mohammad Abrar²,Haq Md. Rafiul³,Rahman Miskatur²

Affiliation:

1. Chittagong University of Engineering and Technology,Dept. of Electronics and Telecommunication Engineering,Chittagong,Bangladesh

2. International Islamic University Chittagong,Dept. of Electronic and Telecommunication Engineering,Chattogram,Bangladesh

3. Stamford University Bangladesh,Dept. of Civil Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10534252/10534311/10534587.pdf?arnumber=10534587

Reference20 articles.

1. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches

2. Design and implementation of a computer-aided diagnosis system for brain tumor classification

3. Brain MRI Slices Classification Using Least Squares Support Vector Machine

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1. Highly sensitive photonic crystal fiber chemical sensor for detecting carbon disulfide and bromoform in the THz regime;Physica Scripta;2024-07-31

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