A local-global unified scheme driven by positionable texture and multi-level boundary for lung cancer organoids segmentation.
Jiansong FanTianxu LvShunyuan JiaYuan LiuRuihong DengZexin ChenYu ZhuLihua LiChunjuan JiangJianming NiXiang PanPublished in: Expert Syst. Appl. (2024)
Keyphrases
- lung cancer
- boundary information
- pet ct
- lymph nodes
- early detection
- lung nodules
- segmented regions
- automated detection
- image segmentation
- cancer diagnosis
- region growing
- segmentation result
- segmentation algorithm
- region boundaries
- ground glass opacity
- survival prediction
- lung cancer patients
- segmentation method
- cancer cells
- shape prior
- brain mri
- image processing
- image analysis
- level set
- accurate segmentation
- texture features
- pulmonary nodules
- object boundaries
- medical imaging
- pet images
- computer aided
- ct images
- automated segmentation