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相关概念视频

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

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Doppler Optical Coherence Tomography of Retinal Circulation
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一个开源的深度学习算法,用于高效和完全自动地分析光学连贯性断层扫描中的胸膜.

Jamie Burke1, Justin Engelmann2,3, Charlene Hamid4

  • 1School of Mathematics, University of Edinburgh, Edinburgh, UK.

Translational vision science & technology
|November 21, 2023
PubMed
概括

开源的深度学习算法DeepGPET在OCT扫描中自动化了胆管细分,大大减少了处理时间,同时保持了研究和临床使用的高精度.

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科学领域:

  • 眼科医生 眼科 眼科
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 在光学连贯断层扫描 (OCT) 中精确的胆管细分对于系统性疾病研究至关重要.
  • 现有的方法往往是半自动的,需要人工干预,并引入主观性.
  • 需要开源,完全自动的算法来进行高效的胆道分析.

研究的目的:

  • 开发DeepGPET,这是一个开源的,完全自动的深度学习算法,用于在海外国家和地区的数据中进行胆管细分.
  • 与验证的半自动方法相比,评估DeepGPET的性能和效率.

主要方法:

  • 一个带有MobileNetV3骨干的U-Net模型在715个OCTB扫描数据集上进行了微调.
  • 使用半自动高斯过程边缘跟踪 (GPET) 方法生成了基准真相细分.
  • 使用细分协议指标,胸腔厚度/面积测量和定性临床评估来评估性能.

主要成果:

  • 深GPET与GPET表现出很好的一致性 (AUC=0.9994,Dice=0.9664).
  • 它显著减少了处理时间,从每张图像的34.49秒 (GPET) 减少到每张图像的1.25秒.
  • 临床眼科医生评估显示,与GPET相比,其质量性能相当.

结论:

  • DeepGPET提供了一个高度准确和高效的解决方案,用于自动的胆管细分.
  • 它的开源性质和缩短的处理时间促进了大规模的胆道测量.
  • 该算法可以在没有经过培训的操作员的情况下在临床上部署,从而提高了客观性和可访问性.