Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk.
Dakai JinDazhou GuoTsung-Ying HoAdam P. HarrisonJing XiaoChen-Kan TsengLe LuPublished in: MICCAI (6) (2019)
Keyphrases
- spatial context
- lung cancer patients
- lymph nodes
- lung cancer
- clinical data
- clinical practice
- image guided
- clinical applications
- spatial and temporal
- pet ct
- medical imaging
- medical images
- automatic detection
- contextual information
- cancer diagnosis
- spatial information
- risk factors
- treatment planning
- anatomical structures
- automatic segmentation
- ct images
- ct data
- spatial relationships
- image regions
- computed tomography
- spatio temporal
- computer vision
- pet images
- image registration
- imaging modalities
- ct scans
- risk management
- segmentation algorithm
- medical image analysis
- computer assisted
- intraoperative
- cross sections
- x ray
- risk assessment
- three dimensional