3d U-Net with ROI Segmentation of Kidneys and Masses in CT Scans.
Connor MitchellShuwei XingAaron FensterPublished in: KiTS@MICCAI (2023)
Keyphrases
- ct scans
- automated segmentation
- abdominal organs
- medical images
- region of interest
- computer aided diagnosis
- ct images
- computed tomography
- computed tomography images
- computer tomography
- organ segmentation
- medical imaging
- x ray
- computer aided detection
- fully automatic
- registration process
- fracture detection
- breast cancer
- mammogram images
- ct data
- magnetic resonance
- image analysis
- medical image analysis
- medical image processing
- image segmentation
- treatment planning
- rigid registration
- mr images
- bone segmentation
- segmentation algorithm
- anatomical structures
- medical image segmentation
- magnetic resonance images
- computer aided
- dce mri
- x ray images
- three dimensional
- lung nodules
- imaging modalities
- cad systems
- volume rendering
- accurate segmentation
- registration accuracy
- clinical applications
- magnetic resonance imaging
- automatic segmentation
- energy function
- level set