3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation.
William FunkeBenjamin VeaseyJacek M. ZuradaHichem FriguiAmir A. AminiPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- ct scans
- pulmonary nodules
- computer aided detection
- automated segmentation
- thoracic ct images
- ct images
- computer tomography
- computed tomography
- x ray
- computer aided diagnosis
- medical images
- computer aided
- differential diagnosis
- medical imaging
- organ segmentation
- segmentation algorithm
- accurate segmentation
- ground glass opacity
- fracture detection
- ct data
- medical image processing
- three dimensional
- level set
- region of interest
- lung cancer
- lung nodules
- shape prior
- image segmentation
- image reconstruction
- automatic segmentation
- segmentation method
- breast cancer
- image processing
- deformable models
- cad systems
- image analysis
- receiver operating characteristic
- region growing