荷鲁斯之眼:用计算机视觉增强头癌护理
Ke-Ru Shen1, Lei-Ming Cao1, Zi-Zhan Li1
1State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
计算机视觉 (CV) 对改善头癌 (HNC) 管理有很大的希望. 医疗专业人员和人工智能研究人员之间的进一步合作将扩大HNC治疗中的CV应用.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 计算机视觉 计算机视觉
背景情况:
- 头癌 (HNC) 在全球面临重大治疗挑战.
- 复杂的解剖学和图像解释困难阻碍了HNC管理.
- 人工智能 (AI),特别是计算机视觉 (CV),显示出HNC改进的潜力.
研究的目的:
- 在HNC审查简历申请.
- 讨论CV在HNC的优缺点.
主要方法:
- 对大量文献进行叙述性回顾.
- 在HNC中探索CV应用程序.
- 对CV的优缺点进行比较分析.
主要成果:
- 简历应用涵盖HNC预防,诊断,治疗和预后.
- 简历概念,工作流程,优点和缺点的综合.
- 促进医疗保健专业人员和人工智能研究人员之间的合作.
结论:
- 简历对HNC的管理层来说是非常有前景的.
- 临床医生和人工智能研究人员之间的加强合作对于CV进步至关重要.
- 算法优化将扩大CV在HNC治疗中的作用.
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