Automated Artificial Intelligent Approach for Enhancing Bone Cancer Detection through Hybrid Feature Extraction and Adaptive Elman Recurrent Neural Network
Puntos clave
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.
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Automated Artificial Intelligent Approach for Enhancing Bone Cancer Detection through Hybrid Feature Extraction and Adaptive Elman Recurrent Neural Network | Synapse