Work

Detection of Lung Nodules from Temporal Subtraction CT Image Using Elastic Net-Based Features Selection

Year: 2025

Type: conference-paper

Abstract: 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.

Source: Proceedings of International Conference on Artificial Life and Robotics

DOI: 10.5954/icarob.2025.gs2-3

Authors: Natsuho Baba, Tohru Kamiya, Takashi Terasawa, Takatoshi Aoki

Institutions: Kyushu Institute of Technology, University of Occupational and Environmental Health Japan

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4409913690