2024/03/23 · In this paper, we introduce an automatic TMH measurement technique based on edge detection-assisted annotation within a deep learning framework.

Measurement results using the AI algorithm demonstrate a high level of consistency with manual measurements, offering significant support to clinical doctors in ...

An automatic TMH measurement technique based on edge detection-assisted annotation within a deep learning framework that can automatically screen images ...

2024/04/12 · Meniscus. Preprint. An Edge Detection-Based Deep Learning Approach for Tear Meniscus Height Measurement. January 2024. DOI:10.2139/ssrn.4777499.

自動化されたTMH測定アルゴリズムは、臨床医師に乾燥眼疾患の診断で重要な支援を提供します。

Automated deep learning method enhances efficiency and accuracy in tear meniscus height measurement.

This research paper introduces a new method using deep learning to automatically measure tear meniscus height (TMH) for diagnosing dry eye disease.

2024/03/23 · Automatic measurements of tear meniscus height (TMH) have been achieved by using deep learning techniques; however, annotation is ...

This paper presents a method for automatic quantitation of lower tear meniscus height (TMH) with fully convolutional neural networks (FCNN)

2023/02/14 · A segmentation algorithm based on deep learning and image processing was proposed to realize the automatic measurement of TMH.