Automatic detection and segmentation of chorda tympani under microscopic vision in otosclerosis patients via convolutional neural networks.
Yu HuangXin DingYang ZhaoXu TianGuodong FengZhiqiang GaoPublished in: The international journal of medical robotics + computer assisted surgery : MRCAS (2023)
This study suggests that DL can be used for the automated detection and segmentation of CT in patients with otosclerosis during microscopic surgery with a high degree of performance. Our research validated the potential feasibility for future vision-based navigation surgical assistance and autonomous surgery using AI.
Keyphrases
- convolutional neural network
- deep learning
- artificial intelligence
- minimally invasive
- coronary artery bypass
- machine learning
- ejection fraction
- loop mediated isothermal amplification
- computed tomography
- prognostic factors
- surgical site infection
- label free
- high throughput
- magnetic resonance
- magnetic resonance imaging
- patient reported outcomes
- patient reported
- climate change
- sensitive detection
- pet ct