Mandible Segmentation from CT and CBCT Images Based on a Patch-Based Convolutional Neural Network.
Paulo H. J. AmorimThiago F. MoraesJorge Vicente Lopes da SilvaHélio PedriniPublished in: ICMLA (2023)
Keyphrases
- ct images
- computer tomography
- cone beam ct
- medical images
- segmentation algorithm
- segmentation method
- x ray
- ct scans
- computed tomography
- image analysis
- three dimensional
- convolutional neural network
- projection images
- test images
- accurate segmentation
- automated segmentation
- region of interest
- image data
- cone beam
- medical imaging
- edge detection
- input image
- soft tissue
- deformable registration
- prostate cancer
- ct data
- registration process
- image registration
- object recognition
- registration framework
- volumetric images
- automatic segmentation
- image guided
- deformable models
- neural network
- radiation dose
- radiation therapy
- treatment planning
- reconstruction method
- image segmentation
- registration accuracy
- clinical applications
- magnetic resonance imaging