Deep Learning Method for Rapid Simultaneous Multistructure Temporal Bone Segmentation.
Caio A NevesTrishia El ChemalyFanrui FuNikolas H BlevinsPublished in: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery (2024)
The present DL model for the automated simultaneous segmentation of multiple structures within the temporal bone from CTs achieved high accuracy according to currently commonly employed objective analysis. The results demonstrate the potential of the method to improve preoperative evaluation and intraoperative guidance in otologic surgery.
Keyphrases
- deep learning
- convolutional neural network
- artificial intelligence
- bone mineral density
- machine learning
- minimally invasive
- patients undergoing
- soft tissue
- bone loss
- coronary artery bypass
- bone regeneration
- high resolution
- postmenopausal women
- coronary artery disease
- climate change
- mass spectrometry
- percutaneous coronary intervention