Title: A survey of lung nodule computer-aided diagnostic system based on deep learning

Authors: Tong-Yuan Huang; Yu-Ling Yang

Addresses: School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China ' School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China

Abstract: With the development of machine learning, especially deep learning, the research of pulmonary nodules based on deep learning has made great progress, which has important theoretical research significance and practical application value. Therefore, it is necessary to summarise the latest research in order to provide some reference for researchers in this field. In this paper, the related research, typical methods and processes in the field of pulmonary nodules are analysed and summarised in detail. Firstly, the background knowledge in the field of pulmonary nodules is introduced. Secondly, the commonly used data sets and evaluation indexes are summarised and analysed. Then, the computer-aided diagnostic system related processes and key sub-problems are summarised and analysed. Finally, the development trend and conclusion of pulmonary nodule Computer-Aided Diagnostic (CAD) system are prospected.

Keywords: machine learning; deep learning; pulmonary nodule; CAD system.

DOI: 10.1504/IJWMC.2025.149186

International Journal of Wireless and Mobile Computing, 2025 Vol.29 No.4, pp.340 - 353

Received: 10 Oct 2021
Received in revised form: 03 Dec 2021
Accepted: 26 Feb 2022
Published online: 17 Oct 2025 *

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