Automatic detection and segmentation of morphological changes of the maxillary sinus mucosa on cone-beam computed tomography images using a three-dimensional convolutional neural network.
Kuo Feng HungQi Yong H AiAnn D KingMichael M BornsteinLun M WongYiu Yan LeungPublished in: Clinical oral investigations (2022)
An implementation of this artificial intelligence application in daily practice as an automated diagnostic and reporting system seems possible.
Keyphrases
- cone beam computed tomography
- convolutional neural network
- deep learning
- artificial intelligence
- primary care
- healthcare
- big data
- quality improvement
- machine learning
- loop mediated isothermal amplification
- physical activity
- adverse drug
- label free
- real time pcr
- emergency department
- optical coherence tomography
- quantum dots
- drug induced
- neural network