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The incidence and mortality rates of lung cancer are rising rapidly around the world, and lung nodules are the main symptom in the early stages of lung cancer. The question considered in this paper is how to detect lung disease more accurately for the purpose of early detection and treatment. We propose a YOLOv8-CBAM based on a one-stage detection algorithm and conduct an implementation and comparative study.

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Optimisation of Lung Disease Detection Algorithm Based on Yolo V8

  • 会议论文

  • 发表日期：

    2025年

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  • Guo Xin,
  • G. F. Malykhina

摘要

The incidence and mortality rates of lung cancer are rising rapidly around the world, and lung nodules are the main symptom in the early stages of lung cancer. The question considered in this paper is how to detect lung disease more accurately for the purpose of early detection and treatment. We propose a YOLOv8-CBAM based on a one-stage detection algorithm and conduct an implementation and comparative study.