Cardio-Pulmonary Substructure Segmentation of CT Images Using Convolutional Neural Networks.
Rabia HaqAlexandra HotcaAditya P. ApteAndreas RimnerJoseph O. DeasyMaria ThorPublished in: AIRT@MICCAI (2019)
Keyphrases
- ct images
- lung parenchyma
- ct scans
- convolutional neural networks
- medical images
- pet ct
- medical imaging
- liver segmentation
- computed tomography
- automated segmentation
- lung cancer
- fracture detection
- lung nodules
- computer tomography
- anatomical knowledge
- medical image processing
- pet images
- bone segmentation
- ground glass opacity
- image segmentation
- chronic obstructive pulmonary disease
- segmentation method
- image analysis
- anatomical structures
- region of interest
- ct data
- treatment planning
- x ray
- pulmonary nodules
- rigid registration
- fully automatic
- cardiac ct
- imaging modalities
- accurate segmentation
- automatic segmentation
- energy function
- segmentation algorithm
- level set
- vessel segmentation
- magnetic resonance imaging
- magnetic resonance
- shape prior
- multiscale