Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net.
Jihye YunJinkon ParkDonghoon YuJaeyoun YiMinho LeeHee Jun ParkJune-Goo LeeJoon Beom SeoNamkug KimPublished in: Medical Image Anal. (2019)
Keyphrases
- fully automated
- neural nets
- tomographic images
- hole filling
- fully automatic
- x ray
- feed forward
- x ray images
- manual segmentation
- range data
- artificial neural networks
- texture synthesis
- segmentation algorithm
- back propagation
- semi automatic
- backpropagation neural networks
- automated segmentation
- quantitative analysis
- image segmentation
- neural network
- region growing
- segmentation method
- airway tree
- medical images
- low contrast
- counter propagation
- learning process
- learning tasks
- ct images
- range images