Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks.
Fernando Garcia-GarciaDae-Jin LeeFrancisco J. Mendoza-GarcésSofía Irigoyen-MiróMaría J. Legarreta-OlabarrietaSusana García-GutierrezInmaculada ArosteguiPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- convolutional neural networks
- convolutional network
- quantitative analysis
- semi automated
- automated analysis
- image processing
- image analysis
- fully automated
- location based services
- real time
- morphological analysis
- lung cancer
- morphological operators
- ct images
- computer aided
- object detection
- medical images
- location information
- coarse to fine
- mathematical morphology
- face recognition
- three dimensional
- spatial data