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相关实验视频

Updated: Jan 15, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
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基于深度学习的Mpox皮肤损伤检测和智能医疗保健系统中的实时监控.

Huda Alghoraibi1, Nuha Alqurashi1, Sarah Alotaibi1

  • 1Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia.

Diagnostics (Basel, Switzerland)
|October 16, 2025
PubMed
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一个AI系统,ITMA'INN,使用深度学习精确地从皮肤病变图像中检测出Mpox. 这项技术通过移动诊断和智能城市的实时数据分析来增强公共卫生响应.

科学领域:

  • 医疗保健中的人工智能
  • 医学成像分析 医学成像分析
  • 公共卫生信息学 公共卫生信息学

背景情况:

  • 麻疹病毒对全球健康构成挑战,需要先进的诊断工具来有效监测公共卫生.
  • 目前的诊断方法需要提高可扩展性,可访问性和准确性.
  • 快速可靠地检测Mpox的需求对于及时干预至关重要.

研究的目的:

  • 介绍ITMA'INN,一个由人工智能驱动的系统,用于从皮肤病变图像中检测Mpox.
  • 开发一个全面的医疗保健系统,整合人工智能诊断,移动应用程序和公共卫生仪表板.
  • 为了评估深度学习模型对Mopox分类的性能.

主要方法:

  • 在公共数据集上利用转移学习来评估预训练的深度学习模型.
  • 开发了一个AI模型管道,一个跨平台的移动应用程序,以及一个实时公共卫生仪表板.
  • 使用准确性和F1分数等指标评估二进制和多类分类性能.

主要成果:

  • 对二进制Mpox与非Mpox分类实现了97.8%的峰值准确性,其中包括Vision Transformer和MobileViT的模型.
  • 通过ResNetViT和ViT混合模型来区分各种皮肤状况,多类分类准确度达到92%.
关键词:
在这里,我们可以看到AIAIAI.在美国,CNN是CNN.马波克斯检测检测器可以检测到深度学习是一种深度学习.智能医疗保健是一个智能医疗保健.视觉变压器 视觉变压器

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  • 开发了一个使用MobileViT的移动应用程序,用于用户分析,症状跟踪和医疗中心位置.

    • 结论:

    • ITMA'INN集成了人工智能诊断,移动技术和实时分析,用于响应式医疗保健.
    • 该系统增强公共卫生基础设施,特别是在智能城市环境中.
    • 这种人工智能驱动的方法支持积极的公共卫生管理和疾病监测.