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An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification

  • Published:2023-02 Issue: Volume:229 Page:107278
  • ISSN:0169-2607
  • Container-title:Computer Methods and Programs in Biomedicine
  • language:en
  • Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Huang Yao-Sian,Wang Teh-Chen,Huang Sheng-Zhi,Zhang Jun,Chen Hsin-MingORCID,Chang Yeun-Chung,Chang Ruey-Feng

Funder

Ministry of Science and Technology of the People's Republic of China

Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Cited by 3 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. Classification of benign and malignant pulmonary nodule based on local-global hybrid network;Journal of X-Ray Science and Technology;2024-01-24

2. A Deep Learning-Based Approach for Cervical Cancer Classification Using 3D CNN and Vision Transformer;Journal of Imaging Informatics in Medicine;2024-01-10

3. A Review of Lung Nodules Identification using Machine Learning;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
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