Vascular Intervention Guidewire Detection Algorithm Based on Improved YOLOv5m

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更新时间：2024-10-14

- Vascular Intervention Guidewire Detection Algorithm Based on Improved YOLOv5m
- “在微创血管介入导丝检测领域，改进的YOLOv5m网络通过引入可变形卷积和坐标注意力机制，显著提升了检测准确率和速度。”
- Software Guide Vol. 23, Issue 10, Pages: 199-206(2024)
- 作者机构：
  
  1.上海理工大学健康科学与工程学院
  2.上海介入医疗器械工程技术研究中心，上海 200093
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.232010
  CLC： TP391.41;R318
- Published：15 October 2024，
  
  Received：01 November 2023，
- 稿件说明：
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鲍芳嘉,张明伟,张天逸等.基于改进YOLOv5m的血管介入导丝检测算法[J].软件导刊,2024,23(10):199-206.

BAO Fangjia,ZHANG Mingwei,ZHANG Tianyi,et al.Vascular Intervention Guidewire Detection Algorithm Based on Improved YOLOv5m[J].Software Guide,2024,23(10):199-206.
鲍芳嘉,张明伟,张天逸等.基于改进YOLOv5m的血管介入导丝检测算法[J].软件导刊,2024,23(10):199-206. DOI： 10.11907/rjdk.232010.

BAO Fangjia,ZHANG Mingwei,ZHANG Tianyi,et al.Vascular Intervention Guidewire Detection Algorithm Based on Improved YOLOv5m[J].Software Guide,2024,23(10):199-206. DOI： 10.11907/rjdk.232010.

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