Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs.
Felix BuschLina XuDmitry SushkoMatthias WeidlichDaniel TruhnGustav Müller-FranzesMaurice M. HeimerStefan Markus NiehuesMarcus R. MakowskiMarkus HinscheJanis Lucas VahldiekHugo J. W. L. AertsLisa C. AdamsKeno K. BressemPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- multi label
- deep learning
- chest radiographs
- graph cuts
- text categorization
- medical images
- lung nodules
- medical imaging
- image classification
- unsupervised learning
- image annotation
- x ray
- segmentation algorithm
- shape prior
- text classification
- machine learning
- level set
- image segmentation
- object segmentation
- class labels
- ct images
- segmentation method
- weakly supervised
- energy function
- ct scans
- supervised learning
- feature extraction
- image analysis
- high dimensional
- three dimensional