Design and implementation of a computer-aided diagnosis system for brain tumor classification-Reference-Cited by-同舟云学术

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

Published:2016-12 Issue: Volume: Page:
ISSN:
Container-title:2016 28th International Conference on Microelectronics (ICM)
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Author:

Abd-Ellah Mahmoud Khaled,Awad Ali Ismail,Khalaf Ashraf A. M.,Hamed Hesham F. A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7835397/7847841/07847911.pdf?arnumber=7847911

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid Feature Extraction Approach for Robust Brain Tumor Classification: HOG, GLCM, and Artificial Neural Network;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

2. Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks;Scientific Reports;2024-04-25

3. Brain Tumor Classification and Detection using Dynamic Machine Learning;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

4. An efficient hybrid bert model for brain tumor classification;Journal of Intelligent & Fuzzy Systems;2024-03-05

5. Feature Extraction and Classification of Gray-Scale Images of Brain Tumor using Deep Learning;Scalable Computing: Practice and Experience;2024-02-24

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