Lung Nodule CT Image Classification Based on Adaptive Aggregate Weight Federated Learning

Jiangfeng Shi; Bao Feng; Yehang Chen; Xiangmeng Chen

doi:10.3788/LOP223027

Laser & Optoelectronics Progress, Volume. 60, Issue 22, 2210003(2023)

Lung Nodule CT Image Classification Based on Adaptive Aggregate Weight Federated Learning

Jiangfeng Shi¹, Bao Feng^2、*, Yehang Chen², and Xiangmeng Chen³

¹School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, Guangxi , China

²Laboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin 541004, Guangxi , China

³Laboratory of Intelligent Computing and Application of Medical Imaging, Jiangmen Central Hospital, Jiangmen 529030, Guangdong , China

show less

Abstract Get PDF(in Chinese)

Cited By

Article index updated: Mar. 14, 2025

The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

Jiangfeng Shi, Bao Feng, Yehang Chen, Xiangmeng Chen. Lung Nodule CT Image Classification Based on Adaptive Aggregate Weight Federated Learning[J]. Laser & Optoelectronics Progress, 2023, 60(22): 2210003

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Image Processing

Received: Nov. 11, 2022

Accepted: Feb. 22, 2023

Published Online: Nov. 6, 2023

The Author Email: Feng Bao (fengbao1986.love@163.com)

DOI:10.3788/LOP223027

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology