CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network.
Sarah E. GerardJacob HerrmannYi XinKevin T. MartinEmanuele RezoagliDavide IppolitoGiacomo BellaniMaurizio CeredaJunfeng GuoEric A. HoffmanDavid W. KaczkaJoseph M. ReinhardtPublished in: CoRR (2020)
Keyphrases
- convolutional neural network
- multiresolution
- image segmentation
- ct scans
- medical imaging
- computed tomography
- face detection
- ct images
- medical images
- x ray
- markov random field
- hierarchical representation
- computer tomography
- deformable models
- graph cuts
- wavelet transform
- ct data
- multiscale
- computer vision
- region growing
- coarse to fine
- active contours
- segmentation algorithm
- gray level
- computer aided diagnosis
- shape prior
- method for image segmentation
- neural network
- segmentation method
- image analysis
- region of interest
- computerized tomography
- level set method
- boundary detection
- image processing
- image segmentation algorithm
- chronic obstructive pulmonary disease
- computer aided
- head images
- unsupervised image segmentation
- contour detection
- deformable registration
- image fusion
- image reconstruction
- level set
- image sequences
- machine learning