Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates.
Jiangchang XuJiannan LiuDingzhong ZhangZijie ZhouXiaoyi JiangChenping ZhangXiaojun ChenPublished in: Int. J. Comput. Assist. Radiol. Surg. (2021)
Keyphrases
- ct images
- medical images
- medical imaging
- computer tomography
- inter patient
- ct volume
- ct scans
- computed tomography
- fully automatic
- lung parenchyma
- segmentation algorithm
- region of interest
- automated segmentation
- image segmentation
- magnetic resonance images
- image analysis
- treatment planning
- medical image analysis
- anatomical structures
- lymph nodes
- shape prior
- multiscale
- level set
- ct data
- x ray
- cone beam
- remote sensing
- image registration
- region growing
- segmentation method
- deformable models
- three dimensional
- mr images