Deep learning for automated cerebral aneurysm detection on computed tomography images.
Xilei DaiLixiang HuangYi QianShuang XiaWinston ChongJunjie LiuAntonio Di IevaXiaoxi HouChubin OuPublished in: International journal of computer assisted radiology and surgery (2020)
We successfully developed a deep learning model that can automatically detect aneurysms. The model performed well for aneurysms of different sizes or in different locations. This finding indicates that the deep learning model has the potential to vastly improve clinician performance by providing automated aneurysm detection.
Keyphrases
- deep learning
- convolutional neural network
- artificial intelligence
- machine learning
- computed tomography
- coronary artery
- magnetic resonance imaging
- loop mediated isothermal amplification
- positron emission tomography
- real time pcr
- climate change
- optical coherence tomography
- dual energy
- contrast enhanced
- human health