Automatic pulmonary organ and small nodule segmentation in CT scans: basing on k-means and DU-Net++.
Hui YuQingsong WangGuangpu WangJinglai SunJie ZhengShuo WangPublished in: BIC (2022)
Keyphrases
- ct scans
- computed tomography
- medical images
- organ segmentation
- ct images
- computer aided diagnosis
- abdominal organs
- pulmonary nodules
- automated segmentation
- medical imaging
- k means
- computer aided detection
- lung nodules
- ct imaging
- computer tomography
- ct data
- liver segmentation
- x ray
- anatomical structures
- image reconstruction
- low dose
- registration process
- region of interest
- deformable models
- mr images
- fracture detection
- three dimensional
- semi automatic
- fully automatic
- medical image segmentation
- computer aided
- registration accuracy
- rigid registration
- magnetic resonance
- medical diagnosis
- breast cancer
- image analysis
- medical image processing
- x ray images
- cad systems
- clustering algorithm
- lymph nodes
- imaging modalities
- image segmentation
- magnetic resonance images
- lung cancer
- clinical applications
- support vector
- magnetic resonance imaging
- remote sensing
- segmentation algorithm