通过计算机辅助分析内镜图像,定位囊内镜在食道中的位置
Ruiyao Zhang1, Boyuan Peng1, Yiyang Liu1
1Graduate Department of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu 965-8580, Japan.
一种新的计算机辅助分析 (CADx) 方法使用Swin变压器在消化道中准确定位囊内镜. 这种人工智能工具通过自动化囊内镜检查的监控来提高诊断效率.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 胃肠病学 胃肠病学
背景情况:
- 囊内镜对于诊断消化系统疾病至关重要.
- 手动监测囊内镜位置是耗时和劳动密集的.
- 精确的定位对于跟踪检查进展至关重要.
研究的目的:
- 开发和验证用于囊内镜定位的计算机辅助分析 (CADx) 方法.
- 提高囊内镜检查的效率和准确性.
- 潜在地取代手动实时视觉检查.
主要方法:
- 使用基于Swin变压器的分类器对内镜图像进行分类 (胃,小肠,大肠).
- 在分类结果中使用K-means算法进行异常值校正.
- 开发了一个定位算法,以精确确定囊内镜在食道中的位置.
主要成果:
- 获得了高分类精度:93.46% (胃),97.28% (小肠),98.68% (大肠).
- 证明过渡时间误差很低:16.2s (胃-小肠) 和13.5s (小肠-大肠).
- 在204个案例中得到验证,显示了准确的本地化能力.
结论:
- 拟议的CADx方法准确地定位了囊内镜.
- 基于Swin变压器的方法为手工检查提供了一个可行的替代方案.
- 这项技术可以显著提高囊内镜检查.
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