Intelligent Lung Cancer Classification Using Improved Particle Swarm technique for parameter Tuning in Deep Learning Models

Authors

  • V.DEEPA TRINETHRA Rajalakshmi Institute of Technology
  • Merlin Christo Franklin Assistant Professor, Department of Artificial Intelligence and Machine Learning, Rajalakshmi Institute of Technology, Chennai, India

DOI:

https://doi.org/10.59461/ijitra.v4i1.137

Keywords:

Deep learning; Convolution Neural network; Lung Cancer; Tumor Detection; Fully connected Layer

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

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Published

2025-03-29

How to Cite

TRINETHRA, V., & Franklin, M. C. (2025). Intelligent Lung Cancer Classification Using Improved Particle Swarm technique for parameter Tuning in Deep Learning Models. International Journal of Information Technology, Research and Applications, 4(1), 16–22. https://doi.org/10.59461/ijitra.v4i1.137

Issue

Section

Regular Issue