Generalizability of a deep learning airway segmentation algorithm to a blinded low-dose CT dataset.
Syed Ahmed NadeemAlejandro P. ComellasEric A. HoffmanPunam K. SahaPublished in: Medical Imaging: Image Processing (2021)
Keyphrases
- segmentation algorithm
- low dose
- deep learning
- computed tomography
- ct data
- automatic segmentation
- ct images
- computer tomography
- ct scans
- medical imaging
- medical images
- image segmentation
- image reconstruction
- x ray
- superpixels
- lung nodules
- three dimensional
- graph cuts
- weakly supervised
- unsupervised learning
- machine learning
- input image
- object segmentation
- imaging modalities
- segmentation method
- active shape model
- object recognition
- shape prior
- markov random field
- magnetic resonance images
- active learning
- anatomical structures
- medical image analysis
- natural images
- multiscale
- region of interest