MedBin:一种基于端到端模型的轻量级方法,用于医疗废物管理
Xiazhen Xu1, Chenyang Wang1, Qiufeng Yi1
1Department of Mechanical Engineering, School of Engineering, University of Birmingham, Birmingham B15 2TT, UK.
Waste management (New York, N.Y.)
|March 15, 2025
概括
一个新的自动化系统MedBin,利用MedBin-Net模型和一个全面的数据集,高效地对医疗废物进行分类和分类. 这种方法支持可持续的废物管理,并符合世界卫生组织的指导方针.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 医疗保健管理的管理
背景情况:
- 随着医疗废物的数量不断增加,需要先进的,具有成本效益的管理解决方案.
- 当前的医疗废物管理实践往往缺乏自动化和复杂的分类.
- 在医疗保健中,可持续实践的需要至关重要.
研究的目的:
- 介绍MedBin,这是自动化医疗废物分类,再利用和回收利用的新方法.
- 开发和验证MedBin-Net模型,以准确检测和细分医疗废物.
- 建立一个全面的数据集,用于培训和评估医疗废物管理系统.
主要方法:
- 创建了 MedBin 数据集,包含 36 个类别的 2119 张图像.
- 开发轻量级的MedBin-Net模型,例如医疗废物的细分.
- 实施世界卫生组织 (WHO) 基于指导方针的废物分类分类和处置建议分类器.
主要成果:
- MedBin-Net模型实现了高性能,平均精度为0.91,回忆率为0.97,F1得分为0.94.
- 该模型具有计算效率,具有251万个参数和0.60 ms的推理时间.
- 世卫组织基于指南的分类器准确地将废物分为5种类型,并采用适当的处置方法.
结论:
- 拟议的MedBin系统为可持续的医疗废物管理提供了一个有希望的,自动化的解决方案.
- MedBin数据集和MedBin网络模型为推进该领域的研究提供了宝贵的资源.
- 这种方法支持遵守处理医疗废物的国际标准.
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