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This research presents a deep learning-based model for breast cancer detection and is applied to two datasets (BUSI and the BreakHis-400X). The proposed model uses a Deep Neural Network. The images are processed using the gray wolf optimization algorithm to extract the most important features. The purpose of using this optimization is to improve the effectiveness of feature extraction and avoid falling into local solutions, which contributes to significantly improving the classification accuracy.

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This page is a summary of: DeepWolfNet Model: Enhancing Medical Disease Diagnosis Using Gray Wolf Technology and Deep Neural Networks, International Journal of Online and Biomedical Engineering (iJOE), March 2025, International Association of Online Engineering (IAOE),
DOI: 10.3991/ijoe.v21i04.53811.
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