Unsupervised anomaly detection in brain MRI: Learning abstract distribution from massive healthy brains.
Computers in biology and medicine(2023)
摘要
Our proposed method was able to automatically detect various brain anomalies such as glioblastoma, multiple sclerosis, and cerebral infarction. This work suggests that unsupervised anomaly detection is a powerful approach to detect arbitrary brain abnormalities without labeled samples. It has the potential to support diagnostic workflow in radiology as an automated tool for computer-aided image analysis.
更多查看译文
关键词
Anomaly detection,Autoencoder,Brain MRI,Unsupervised 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