Convolutional Neural Network Ensemble Segmentation With Ratio-Based Sampling for the Arteries and Veins in Abdominal CT Scans.
Alena-Kathrin GollaDominik F. BauerRalf SchmidtTom RussDominik NörenbergKhanlian ChungChristian TönnesLothar R. SchadFrank G. ZöllnerPublished in: IEEE Trans. Biomed. Eng. (2021)
Keyphrases
- ct scans
- abdominal organs
- computer tomography
- automated segmentation
- convolutional neural network
- ct data
- medical images
- ct images
- computed tomography images
- medical imaging
- computed tomography
- liver segmentation
- x ray
- contrast agent
- organ segmentation
- accurate segmentation
- automatic segmentation
- contrast enhanced
- face detection
- neural network
- pre operative
- medical image processing
- computer aided detection
- region of interest
- treatment planning
- computer aided diagnosis
- three dimensional
- magnetic resonance images
- magnetic resonance imaging
- volume rendering
- image analysis
- deformable models
- medical image segmentation
- segmentation method
- pulmonary nodules
- object detection
- x ray images
- mr images
- feature selection
- image reconstruction
- computer vision