Supervised Transfer Learning at Scale for Medical Imaging.
Basil MustafaAaron LohJan FreybergPatricia MacWilliamsMegan WilsonScott Mayer McKinneyMarcin SieniekJim WinkensYuan LiuPeggy BuiShruthi PrabhakaraUmesh TelangAlan KarthikesalingamNeil HoulsbyVivek NatarajanPublished in: CoRR (2021)
Keyphrases
- medical imaging
- transfer learning
- medical images
- learning tasks
- learning algorithm
- x ray
- labeled data
- knowledge transfer
- medical image processing
- machine learning
- image registration
- anatomical structures
- label information
- semi supervised learning
- semi supervised
- medical image analysis
- image processing and analysis
- image segmentation
- imaging modalities
- shape analysis
- cross domain
- ct images
- supervised learning
- reinforcement learning
- magnetic resonance imaging
- image guided
- active learning
- image analysis
- computer vision
- biomedical engineering
- multi task
- transfer knowledge
- manifold alignment
- domain adaptation
- image processing
- image guided surgery
- text classification
- remote sensing
- collaborative filtering
- volumetric data
- data mining
- cross domain learning
- biomedical imaging
- machine learning algorithms
- text categorization
- unsupervised learning
- unlabeled data
- text mining
- natural language processing
- knn
- high resolution
- feature space
- feature selection