Lung Cancer Detection and Classification using Deep Learning
Authors- Okili Divya, Sudulakunta Rasaghna, Shaik Jameer, Thikkolla Narasimha Raju, Madduri Anil Kumar
Abstract-– This paper presents a deep learning-based approach for lung cancer detection and classification using CT scan images. Our method leverages Convolutional Neural Networks (CNNs) and Transfer Learning techniques to enhance accuracy and efficiency. Experimental results demonstrate that our model achieves a high classification accuracy compared to traditional approaches. This highlights the potential of Enhanced CNN models in transforming lung cancer diagnostics and emphasizes the importance of integrating advanced image processing techniques into clinical practice.