Lung segmentation in CT images using a fully convolutional neural network with multi-instance and conditional adversary loss.
Tianyi ZhaoDashan GaoJiao WangZhaozheng YinPublished in: ISBI (2018)
Keyphrases
- ct images
- multi instance
- medical images
- convolutional neural network
- pet ct
- medical imaging
- lung parenchyma
- computed tomography
- lung nodules
- ct scans
- computer tomography
- fracture detection
- ground glass opacity
- object segmentation
- pet images
- real valued
- multi label
- semi supervised learning
- face detection
- automated segmentation
- segmentation algorithm
- image segmentation
- region of interest
- lymph nodes
- imaging modalities
- segmentation method
- treatment planning
- pulmonary nodules
- level set
- multi class
- fully automatic
- three dimensional
- lung cancer
- image analysis
- positron emission tomography
- medical image processing
- object detection
- vessel segmentation
- image processing
- graph cuts
- deformable models
- computer aided diagnosis
- shape prior