Multi‐level learning based on <scp>3D CT</scp> image integrated medical clinic information for accurate diagnosis of pulmonary nodules-Reference-Cited by-同舟云学术

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Multi‐level learning based on 3D CT image integrated medical clinic information for accurate diagnosis of pulmonary nodules

Published:2022-04-15 Issue:17 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Zhang Yanan¹,Zhao Juanjuan¹^ORCID,Wu Wei²,Qiang Yan¹,Jia Liye¹

Affiliation:

1. College of Information and Computer Taiyuan University of Technology Taiyuan Shanxi People's Republic of China

2. Clinical Lab Shanxi Province People's Hospital Taiyuan Shanxi People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6998

Reference44 articles.

1. Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules

2. XieY XiaY ZhangJ FengDD FulhamM CaiW.Transferable multi‐model ensemble for benign‐malignant lung nodule classification on chest CT. Proceedings of the International Conference on Medical Image Computing and Computer‐Assisted Intervention; 2017:656‐664; Springer.

3. Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification

4. A Many-objective Optimization based Federal Deep Generation Model for Enhancing Data Processing Capability in IOT

5. Detection of Malicious Code Variants Based on Deep Learning

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent diagnosis of lung nodule images based on machine learning in the context of lung teaching;Medicine;2024-03-08

2. Research challenges and emerging futuristic evolution for 3D medical image processing;Advances in Computers;2024

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