Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net.
Yabo FuYang LeiTonghe WangXiaojun JiangWalter J. CurranTian LiuHui-Kuo ShuXiaofeng YangPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- ct images
- lung parenchyma
- anatomical knowledge
- medical images
- pet images
- liver segmentation
- medical imaging
- region of interest
- computed tomography
- pet ct
- lung nodules
- fully automatic
- fracture detection
- ct scans
- computer tomography
- brain images
- traumatic brain injury
- brain mr images
- medical image processing
- medical image segmentation
- vessel segmentation
- semi automatic
- segmentation algorithm
- medical image analysis
- bone segmentation
- brain tumors
- contrast enhanced
- image analysis
- treatment planning
- segmentation result
- anatomical structures
- magnetic resonance images
- level set
- automated segmentation
- pulmonary nodules
- ct data
- image segmentation
- x ray
- hypothesis testing
- diffusion tensor images
- human brain
- computer aided
- segmentation method