For many emerging medical image analysis problems, there is limited data and associated
annotations. Traditional deep learning is not well-designed for this scenario. In addition, for …

Accurate acquisition of standard planes of fetal facial ultrasound is essential for subsequent
biometry and disease diagnosis. Foreign scholars have extensively researched algorithms …

Although deep learning has proved its effectiveness in the analysis of medical images, its
great ability to extract complex features makes it susceptible to base its decision on spurious …

Pediatric wrist trauma (PWT) is a common injury that occurs in hospital emergency
departments, with fractures being among the most frequent cases. The traditional diagnostic …

隨著醫學影像相關工具功能的增加與進步, 醫學影像在醫院中廣泛地被使用. 為了有效管理,
檢索與利用醫學影像資料庫中的影像, 基於內容的醫學影像檢索系統, 能協助使用者尋找所需的 …

Deep learning methods have advanced quickly in brain imaging analysis over the past few
years, but they are usually restricted by the limited labeled data. Pre-trained model on …

Stroke causes behavioral deficits in multiple cognitive domains and there is a growing
interest in predicting patient performance from neuroimaging data using machine learning …

醫療影像辨識是近年來人們一直在探討的技術, 對於部份的疑難雜症, 仍須耗費龐大的醫療資源
進行病症分析, 如何降低醫療資源浪費的問題便產生; 醫療影像辨識也能進行初步的篩檢 …