Intelligent Lung Cancer Classification Using Improved Particle Swarm technique for parameter Tuning in Deep Learning Models
Year: 2025
Type: article
Abstract: A deep learning model is proposed for the Lung cancer prediction and Stage classification .The major step in tumour classification is the generation of the lesion representation.The type of approach used for the feature optimisation is the particle swarm optimisation technique. Approach: The type of approach used for the feature optimisation is the particle swarm optimisation technique. Ensemble models are used to improve the better performance.The fine tuning in Pso model is done in the cnn model to improve the performance
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408962951