Pathological Pulmonary Lobe Segmentation from CT Images using Progressive Holistically Nested Neural Networks and Random Walker.
Kevin GeorgeAdam P. HarrisonDakai JinZiyue XuDaniel J. MolluraPublished in: CoRR (2017)
Keyphrases
- ct images
- random walker
- ct scans
- lung parenchyma
- neural network
- medical images
- graph cuts
- computed tomography
- random walk
- liver segmentation
- medical imaging
- pet ct
- lung nodules
- computer tomography
- multi label
- automated segmentation
- fracture detection
- ct data
- automatic segmentation
- chronic obstructive pulmonary disease
- region of interest
- x ray
- image segmentation
- lung cancer
- pattern recognition
- bone segmentation
- anatomical knowledge
- ground glass opacity
- segmentation algorithm
- treatment planning
- pulmonary nodules
- pet images
- cardiac ct
- pulmonary embolism
- three dimensional
- contrast enhanced
- lymph nodes
- accurate segmentation
- magnetic resonance imaging
- image classification
- higher order
- semi supervised
- image analysis
- machine learning