A Coarse-to-Fine Morphological Approach with Knowledge-Based Rules and Self-Adapting Correction for Lung Nodules Segmentation.
Xinliang FuJiayin ZhengJuanyun MaiYanbo ShaoMinghao WangLinyu LiZhaoqi DiaoYulong ChenJianyu XiaoJian YouAiru YinYang YangXiangcheng QiuJinsheng TaoBo WangHua JiPublished in: ICIP (2022)
Keyphrases
- coarse to fine
- lung nodules
- multiscale
- hierarchical segmentation
- deformable surface model
- multiresolution
- hierarchical representation
- ct images
- object detection
- image registration
- deformable contour
- image pyramid
- computer aided diagnosis
- x ray images
- image segmentation
- dynamic programming
- image processing
- edge detection
- medical imaging
- shape representation
- medical images
- level set
- segmentation method
- region growing
- active shape model
- nodule detection
- lung cancer
- segmentation algorithm
- sobolev active contours
- similarity measure
- computer vision
- volumetric data
- decision trees
- early detection
- ct scans
- magnetic resonance images
- x ray