Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets.
Anshul RatnaparkhiBilwaj GaonkarDavid ZarrinIen LiKirstin CookAzim LaiwallaBayard WilsonMark AttiahChristine S. AhnDiane VillaromanBryan YooBanafsheh SalehiJoel BeckettLuke MacyszynPublished in: Medical Imaging: Computer-Aided Diagnosis (2022)
Keyphrases
- deep learning
- medical image segmentation
- medical images
- unsupervised feature learning
- unsupervised learning
- deep architectures
- machine learning
- statistical shape model
- medical image analysis
- deep belief networks
- curve evolution
- level set method
- mental models
- image segmentation
- weakly supervised
- image analysis
- shape model
- medical imaging
- level set
- pattern recognition