Analysis of Segmentation and Modeling of Lung Cancer Images Scanned Continuously by Computed Tomography Based on Materiaise's Interactive Medical Image Control System.
Hongtao PanMo DongXiangkun ZhaoZhizun ZhouHongsuo ZhouPublished in: J. Medical Imaging Health Informatics (2020)
Keyphrases
- medical images
- computed tomography
- ct images
- pet ct
- lymph nodes
- medical imaging
- clinical applications
- medical image segmentation
- region of interest
- lung cancer
- ct data
- mri images
- ct scans
- image analysis
- contrast enhanced
- lung cancer patients
- pet images
- computer tomography
- lung nodules
- imaging modalities
- anatomical structures
- magnetic resonance images
- mr images
- deformable models
- magnetic resonance
- image registration
- computer aided diagnosis
- three dimensional
- medical image analysis
- image reconstruction
- automated segmentation
- automatic detection
- medical diagnosis
- pulmonary nodules
- segmentation method
- rigid registration
- medical data
- clinical practice
- brain images
- magnetic resonance imaging
- segmentation algorithm
- image processing
- x ray images
- image segmentation
- accurate segmentation
- cancer diagnosis
- region growing
- fully automatic
- x ray
- treatment planning
- partial volume
- input image