META-HEURISTIC OPTIMIZATION ALGORITHMS BASED FEATURE SELECTION FOR CLINICAL BREAST CANCER DIAGNOSIS

Author:

Darwish Ashraf,Sayed Gehad,Hassanien Aboul

Publisher

Egypts Presidential Specialized Council for Education and Scientific Research

Cited by 5 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. Enhanced grasshopper optimization‐based selection of ultrasound and elastography features for breast lesion classification;International Journal of Imaging Systems and Technology;2023-05-26

2. Quantumedics: Brain Tumor Diagnosis and Analysis Based on Quantum Computing and Convolutional Neural Network;Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023;2023

3. Study of Machine Learning Models for the Prediction and Detection of Lungs Cancer;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16

4. Meta-heuristic algorithms-based feature selection for breast cancer diagnosis: A systematic review;2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2022-11-16

5. New Sequential and Parallel Support Vector Machine with Grey Wolf Optimizer for Breast Cancer Diagnosis;Alexandria Engineering Journal;2022-03

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