Automated Artificial Intelligent Approach for Enhancing Bone Cancer Detection through Hybrid Feature Extraction and Adaptive Elman Recurrent Neural Network

Key Points

• Automated AI approach significantly enhances detection accuracy for bone cancer.
• Detection accuracy improved by incorporating hybrid feature extraction techniques and advanced neural networks.
• Assessment using adaptive Elman recurrent neural network demonstrates strong performance on imaging data.
• May enable faster and more reliable detection of bone cancer, aiding timely treatment decisions.