Multi-center solitary solid pulmonary nodule classification algorithm based on mutual information of graph federation-Reference-Cited by-同舟云学术

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Multi-center solitary solid pulmonary nodule classification algorithm based on mutual information of graph federation

Published:2023-11-17 Issue: Volume:18 Page:554-559
ISSN:
Container-title:2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC)
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Author:

Shi Jiangfeng¹,Feng Bao²,Liu Yu²,Chen Xiangmeng³

Affiliation:

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

2. Guilin University of Aerospace Technology,Laboratory of Intelligent Detection and Information Processing,Guilin City,Guangxi Province,China,541004

3. Jiangmen Central Hospital,Department of Radiology,Jiangmen,China,529000

Funder

Guilin University of Aerospace Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455087/10454140/10455787.pdf?arnumber=10455787

Reference17 articles.

1. Baseline and annual repeat rounds of screening: implications for optimal regimens of screening

2. Can lung cancer screening by computed tomography be effective in areas with endemic histoplasmosis?

3. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

4. International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society: International Multidisciplinary Classification of Lung Adenocarcinoma: Executive Summary

5. Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning

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