Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents.
Xiaojiao XiaoJuanjuan ZhaoYan QiangJaron ChongXiaotang YangNtikurako Guy-Fernand KazihiseBo ChenShuo LiPublished in: MICCAI (2) (2019)
Keyphrases
- contrast enhanced
- tumor segmentation
- multi agent systems
- brain tumors
- multi agent
- multiagent systems
- mri data
- mr images
- low grade gliomas
- multiple agents
- autonomous agents
- intelligent agents
- segmentation method
- level set
- organ segmentation
- software agents
- carotid artery
- segmentation algorithm
- dynamic environments
- fully automatic
- ct data
- image analysis
- cooperative
- agent architecture
- computed tomography
- deformation field
- multiscale
- magnetic resonance images
- image segmentation
- medical images
- resource allocation
- region growing
- shape prior
- object segmentation
- magnetic resonance
- cancer diagnosis
- microscopy images
- ct images
- brain mr images
- magnetic resonance imaging
- dce mri
- contrast enhancement
- probabilistic atlas
- edge detection
- active contour model