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: DLMIA/ML-CDS@MICCAI (2017)
Keyphrases
- ct images
- random walker
- lung parenchyma
- ct scans
- neural network
- graph cuts
- medical images
- computed tomography
- lung nodules
- random walk
- medical imaging
- pet ct
- computer tomography
- liver segmentation
- fracture detection
- multi label
- automated segmentation
- chronic obstructive pulmonary disease
- pattern recognition
- pet images
- anatomical knowledge
- pulmonary nodules
- bone segmentation
- region of interest
- segmentation algorithm
- image segmentation
- lymph nodes
- markov random field
- ct data
- machine learning
- treatment planning
- lung cancer
- automatic segmentation
- magnetic resonance
- segmentation method
- x ray
- region growing
- image reconstruction
- image classification
- image analysis
- feature selection