Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems.
Huimin LuMasashi KondoYujie LiJoo Kooi TanHyoungseop KimSeiichi MurakamiTakotoshi AokiShoji KidoPublished in: Mob. Networks Appl. (2018)
Keyphrases
- graph cuts
- pulmonary nodules
- healthcare systems
- thoracic ct images
- energy function
- computer aided
- markov random field
- ct images
- energy minimization
- lung cancer
- object segmentation
- ground glass opacity
- segmentation algorithm
- shape prior
- image segmentation
- computer aided diagnosis
- information extraction
- computed tomography
- ct scans
- electronic health records
- medical domain
- medical image processing
- medical images
- machine learning
- active shape model
- medical imaging