Revolutionizing Lung Cancer Detection: Unveiling the Power of VGG19

Authors

  • Puvvada Harsha Siva Prasad Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
  • Nedunuri Madhu Venkata Sai Daswanth Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
  • Chinni Venkata Sai Pavan Kumar Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
  • Nishanth Yeeramally Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
  • V. Murali Mohan Associate Professor ,Department of CSE,Koneru Lakshmaiah Education Foundation,Vaddeswaram, Andhra Pradesh, India
  • T. Satish Associate Professor ,Department of CSE,Koneru Lakshmaiah Education Foundation,Vaddeswaram, Andhra Pradesh, India

Keywords:

VGG19(Visual Geometry Group), Convolutional Neural Network, probabilistic neural network, Lungs, Disease

Abstract

Lung cancer is a very common and dangerous type of cancer worldwide. Detecting and figuring out what type of lung cancer someone has early can help them get better treatment and have a higher chance of surviving. In our research, we suggest a way to find and categorize lung cancer using fancy computer methods called deep learning. We use a smart computer program called VGG19, which is good at understanding pictures, to look at special pictures of lungs called CT scans. Then, we use another computer program that's good at guessing, called a probabilistic neural network, to say if the cancer is not so bad, adenocarcinoma, or squamous cell carcinoma. We test our way against another smart program called VGG16 and prove that our way is better at getting things right. Finding lung cancer is hard because the pictures of lumps in the lungs are all different and sometimes not very clear. However, we predict lung cancer with better accuracy by using a deep-learning model called VGG19. After the training, the model got an accuracy of 97.76.

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Published

24.03.2024

How to Cite

Prasad , P. H. S. ., Daswanth , N. M. V. S. ., Sai Pavan Kumar, C. V. ., Yeeramally, N. ., Mohan, V. M. ., & Satish, T. . (2024). Revolutionizing Lung Cancer Detection: Unveiling the Power of VGG19. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 571–577. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5288

Issue

Vol. 12 No. 3 (2024)

Section

Research Article

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