Author Login IJIRT Partner Network (IPN) Login

Multiple Dataset Problems while Detecting Early Stage Lung Cancer

  • Unique Paper ID: 172781
  • Volume: 11
  • Issue: 9
  • PageNo: 820-826
  • Abstract:
  • Lung cancer is one of the leading causes of cancer-related deaths worldwide, and early detection significantly improves patient survival rates. Deep learning models, such as Convolutional Neural Networks (CNNs), Linear Discriminant Analysis (LDA), Recurrent Neural Networks (RNNs), Autoencoders, and Transformer-based models, can be utilized to automate lung cancer detection from medical imaging. However, a major challenge in developing a robust deep learning model is the variability in imaging data, which arises due to differences in X-ray machines and scanning techniques. This research highlights the impact of dataset variability on lung cancer detection. We utilize the LIDC-IDRI dataset from The Cancer Imaging Archive (TCIA), which contains lung CT scans from multiple imaging sources. The variability in image quality, contrast, and resolution across different machines introduces inconsistencies that hinder effective model training and generalization. This study focuses on analyzing these challenges and discussing potential solutions, such as dataset standardization and domain adaptation techniques, to enhance the reliability of deep learning-based lung cancer detection.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 9
  • PageNo: 820-826

Multiple Dataset Problems while Detecting Early Stage Lung Cancer

Related Articles

06 Feb, 2025

Enhancing Solar Panel Efficiency in Established Installations

Read More
03 Feb, 2025

Diabetes Diagnosis using Electronic Health Records through Machine Learning

Read More
Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry