Diagnosis of brain tumor grade is crucial for effective treatment planning of patients. The
gold standard for brain tumor grade diagnosis is a biopsy, but it is an invasive procedure …

Recent developments in artificial intelligence research have resulted in tremendous success
in computer vision, natural language processing and medical imaging tasks, often reaching …

Deep networks have recently been applied to medical assistant diagnosis. The brain is the
largest and the most complex structure in the central nervous system, which is also …

摘要(中) 本研究的目標是利用YOLOv4 技術達成即時的動態影像檢測及切割,
其中將以舌頭特徵辨識作為技術呈現的對象. 本技術之所以選擇追蹤動態舌頭影像作為本論文所 …

The timely detection of brain tumors is pivotal for improving survival prospects. Employing
diagnostic imaging modalities like MRI and CT, this study prioritizes MRI due to its ability to …

Surgica1 tool detection involves identifying the position and type of instruments in an image.
This is one of the significant issues in automatic video analysis that can aid in evaluating the …

In many practical applications, deep neural networks have been typically deployed to
operate as a black box predictor. Despite the high amount of work on interpretability and …

Biomedical imaging has revolutionized medicine and biomedical research, providing non-
invasive anatomical and functional information of living subjects. Massive digital image data …

Abstract Background and Objective: Anomaly detection in medical images is a fundamental
problem in computer-aided medical image analysis. How to transform the medical prior …

Learning similarity is a key aspect in medical image analysis, particularly in
recommendation systems or in uncovering the interpretation of anatomical data in images …