Abstract The implementation of Digital Pathology has allowed the development of
computational Pathology. Digital image-based applications that have received FDA …

Multiple instance learning is a powerful approach for whole slide image-based diagnosis in
the absence of pixel-or patch-level annotations. In spite of the huge size of whole slide …

The medical information system is rich in datasets, but no intelligent systems can easily
analyse the disease. Recently, ML (Machine Learning)‐based algorithms have acted as a …

Early diagnosis of thyroid cancer can reduce mortality, and can decrease the risk of
recurrence, side effects, or the need for lengthy surgery. In this study, an explainable artificial …

Thyroid nodules are very common, 5–15% of which are malignant. Despite the low mortality
rate of well-differentiated thyroid cancer, some variants may behave aggressively, making …

In recent years, the incidence of thyroid cancer has rapidly increased. To address the issue
of the inefficient diagnosis of thyroid cancer during surgery, we propose a rapid method for …

In complex data environments, rational handling of unbalanced datasets is key to improving
the reliability of early disease prediction. Early warning of disease risk in both temporal and …

For classifying digital whole slide images in the absence of pixel level annotation, typically
multiple instance learning methods are applied. Due to the generic applicability, such …

背景帕金森病(PD) 的诊断主要以临床症状为主, 缺乏正确诊断的客观方法. 目前已有关于视网膜
结构改变作为PD 早期诊断的生物标志的研究, 但基于视网膜结构改变的机器学习对预测早期PD …

Thyroid disease is now rapidly increasing in prevalence among people, and it affects more
womenthan men. The thyroid gland, also referred to as the butterfly gland because of its …