Deep Learning Method for Rapid Simultaneous Multistructure Temporal Bone Segmentation.

Caio A Neves Trishia El ChemalyFanrui FuNikolas H Blevins

Published 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
minimally invasive
patients undergoing
machine learning
soft tissue
bone loss
bone regeneration
coronary artery bypass
high resolution
climate change
atrial fibrillation
high throughput