Unsupervised Acute Intracranial Hemorrhage Segmentation With Mixture Models

2021 IEEE 9th International Conference on Healthcare Informatics (ICHI)(2021)

引用 2|浏览1
暂无评分
摘要
Intracranial hemorrhage occurs when blood vessels rupture or leak within the brain tissue or elsewhere inside the skull. It can be caused by physical trauma or by various medical conditions and in many cases leads to death. The treatment must be started as soon as possible, and therefore the hemorrhage should be diagnosed accurately and quickly. The diagnosis is usually performed by a radiologist ...
更多
查看译文
关键词
Data privacy,Machine learning algorithms,Computed tomography,Clustering algorithms,Training data,Mixture models,Machine learning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要