Automatic spine segmentation from CT images using Convolutional Neural Network via redundant generation of class labels.
Malinda VaniaDawit MurejaDeukhee LeePublished in: J. Comput. Des. Eng. (2019)
Keyphrases
- ct images
- class labels
- medical images
- convolutional neural network
- liver segmentation
- fully automatic
- medical imaging
- lung nodules
- fracture detection
- pet ct
- x ray images
- computer tomography
- computed tomography
- pet images
- lung parenchyma
- ct scans
- supervised learning
- training data
- feature set
- medical image processing
- image segmentation
- x ray
- lymph nodes
- labeled data
- face detection
- region of interest
- ground glass opacity
- level set
- treatment planning
- unlabeled data
- training examples
- multi label
- mr images
- segmentation algorithm
- lung cancer
- clinical applications
- magnetic resonance imaging
- neural network
- energy function
- multi class
- classification accuracy
- active learning
- pairwise
- training set
- data mining