Recurrent convolutional neural networks for mandible segmentation from computed tomography.
Bingjiang QiuJiapan GuoJoep KraeimaHaye H. GlasRonald J. H. BorraMax J. H. WitjesPeter M. A. van OoijenPublished in: CoRR (2020)
Keyphrases
- ct images
- computed tomography
- medical images
- ct scans
- medical imaging
- convolutional neural networks
- liver segmentation
- lung nodules
- computer tomography
- pet ct
- fracture detection
- pet images
- contrast enhanced
- image segmentation
- computed tomography scans
- medical image segmentation
- ct data
- image reconstruction
- treatment planning
- magnetic resonance imaging
- magnetic resonance images
- level set
- lymph nodes
- segmentation algorithm
- computer aided diagnosis
- x ray
- imaging modalities
- mr images
- multiscale
- region of interest
- image analysis
- inter observer variability
- medical image processing
- anatomical structures
- fully automatic
- accurate segmentation
- three dimensional
- ct imaging
- image processing
- computer vision
- segmentation method
- image registration
- magnetic resonance