Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network.
Keisuke UemuraYoshito OtakeMasaki TakaoMazen SoufiAkihiro KawasakiNobuhiko SuganoYoshinobu SatoPublished in: CoRR (2020)
Keyphrases
- automated segmentation
- convolutional neural network
- ct images
- ct scans
- treatment planning
- clinical applications
- medical images
- computed tomography
- image intensity
- traumatic brain injury
- face detection
- bone segmentation
- medical imaging
- intensity information
- completely automated
- region of interest
- anatomical structures
- imaging modalities
- medical data
- segmentation method
- medical image analysis
- fracture detection
- three dimensional
- computer aided diagnosis
- manual segmentation
- neural network
- mr images
- computer vision
- clinical trials
- deformable models
- detection method
- pulmonary nodules
- x ray
- image analysis