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Updated: Jul 11, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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基于深度学习的预测,从单一基线的OCT中预测个体地理缩的进展

Julia Mai1, Dmitrii Lachinov1, Gregor S Reiter1

  • 1OPTIMA - Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.

Ophthalmology science
|April 9, 2024
PubMed
概括

一个新的深度学习算法使用单个基线OCT扫描准确预测地理缩 (GA) 的进展. 这种工具有助于管理GA,一种现在可以治疗的疾病,通过识别疾病活动和快速进展者.

关键词:
人工智能的人工智能是人工智能.地理缩的地理缩.地理缩进展的进展光学连贯性断层扫描仪

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相关概念视频

End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting the...