Detection of Lung Nodules from Temporal Subtraction CT Image Using Elastic Net-Based Features Selection
CT (computed tomography) is mainly used to diagnose lung cancer.Many CT images impose a heavy burden on visual screening, so a CAD (computer-aided diagnosis) system is expected to reduce the burden.In this paper, we propose an image analysis method to detect lung nodules from chest CT images using machine learning techniques.The best results were obtained for the method using LightGBM with feature reduction by Elastic Net.
Authors
- Takatoshi Aoki (ORCID: https://orcid.org/0000-0002-7973-110X)
- Tohru Kamiya (ORCID: https://orcid.org/0000-0002-2872-9018)
- Natsuho Baba
- Takashi Terasawa
Institutions
- University of Occupational and Environmental Health Japan (JP)
- Kyushu Institute of Technology (JP)
Publication Details
- Journal
- Proceedings of International Conference on Artificial Life and Robotics
- Published
- 2025-02-13
- DOI
- https://doi.org/10.5954/icarob.2025.gs2-3
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.06