Publications by authors named "Shangyu Cai"

This study addresses a limitation of prior research on pectoralis major (PMaj) thickness changes during the pectoralis fly exercise using a wearable ultrasound imaging setup. Although previous studies used manual measurement and subjective evaluation, it is important to acknowledge the subsequent limitations of automating widespread applications. We then employed a deep learning model for image segmentation and automated measurement to solve the problem and study the additional quantitative supplementary information that could be provided.

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Article Synopsis
  • - Transient elastography (TE) is a WHO-recommended method for measuring liver stiffness to assess liver fibrosis, but traditional systems have limitations like size and the need for wired connections.
  • - A new, palm-sized TE system has been designed to integrate B-mode imaging with liver stiffness measurement, tested with tissue phantoms and evaluated in a clinical setting with 121 patients suffering from chronic liver diseases.
  • - The new system showed strong correlation with conventional TE, good operator reliability, and promises to improve liver fibrosis screening at the point of care, making it more efficient and user-friendly.
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Meibomian gland dysfunction (MGD) is caused by abnormalities of the meibomian glands (MG) and is one of the causes of evaporative dry eye (DED). Precise MG segmentation is crucial for MGD-related DED diagnosis because the morphological parameters of MG are of importance. Deep learning has achieved state-of-the-art performance in medical image segmentation tasks, especially when training and test data come from the same distribution.

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