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Lung Nodule Detection Based on YOLOv3 Deep Learning with Limited Datasets

  • Published:2022 Issue:1 Volume:19 Page:17-28
  • ISSN:1556-5300
  • Container-title:Molecular & Cellular Biomechanics
  • language:en
  • Short-container-title:

Author:

Bu Zhaohui,Zhang Xuejun,Lu Jianxiang,Lao Huan,Liang Chan,Xu Xianfu,Wei Yini,Zeng Hongjie

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Cell Biology,Molecular Biology,Molecular Medicine,General Medicine,Biophysics

Cited by 6 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. A survey on comparative study of lung nodules applying machine learning and deep learning techniques;Multimedia Tools and Applications;2024-08-20

2. A multichannel analysis of imbalanced computed tomography data for lung cancer classification;Measurement Science and Technology;2024-05-07

3. Improving YOLOv6 using advanced PSO optimizer for weight selection in lung cancer detection and classification;Multimedia Tools and Applications;2024-02-24

4. Harnessing the Power of Graph Propagation in Lung Nodule Detection;Lecture Notes in Computer Science;2024

5. A Review of Deep Learning Applications in Lesion Detection Research;2023 13th International Conference on Information Technology in Medicine and Education (ITME);2023-11-24
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