Abstract: We developed a novel approach to address label noise and low inter-annotator consensus in medical image classification. Applying a Bayesian neural network (BNN), we classified Meibomian ...
Objective: To examine the relationship between hormonal changes, particularly estrogen, and lacrimal gland function in dry eye syndrome using a surgically induced menopausal rat model. Methods: Twenty ...
Purpose: This study aimed to analyze ocular sur-face parameters and evaluate meibomian gland dys-function using meibography in newly diagnosed patients with atopic dermatitis compared with healthy ...
Abstract: Meibomian Gland Dysfunction (MGD) is a key contributor to clinical Dry Eye Disease (DED), and accurate meibomian gland segmentation is essential for its intelligent diagnosis. However, the ...
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