Research on Pulmonary Nodule Detection Based on Improved YOLOv9

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Graphic and Image Processing | 更新时间：2026-08-03

- Research on Pulmonary Nodule Detection Based on Improved YOLOv9
- Software Guide Vol. 25, Issue 7, Pages: 179-185(2026)
- 作者机构：
  
  1.大连交通大学轨道智能工程学院
  2.辽宁省轨道交通装备焊接与可靠性重点实验室
  3.大连市区块链技术与应用重点实验室，辽宁大连 116028
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.251337
  CLC： TP391
- Received：12 May 2025，
  
  Online First：03 August 2026，
  
  Published：15 July 2026
- 稿件说明：
移动端阅览
邵锦雷,张正,邹丽.基于改进YOLOv9的肺结节检测研究[J].软件导刊,2026,25(07):179-185.

SHAO Jinlei,ZHANG Zheng,ZOU Li.Research on Pulmonary Nodule Detection Based on Improved YOLOv9[J].Software Guide,2026,25(07):179-185.
邵锦雷,张正,邹丽.基于改进YOLOv9的肺结节检测研究[J].软件导刊,2026,25(07):179-185. DOI： 10.11907/rjdk.251337.

SHAO Jinlei,ZHANG Zheng,ZOU Li.Research on Pulmonary Nodule Detection Based on Improved YOLOv9[J].Software Guide,2026,25(07):179-185. DOI： 10.11907/rjdk.251337.

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