Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods.
Daniel WolfTristan PayerCatharina Silvia LissonChristoph Gerhard LissonMeinrad BeerMichael GötzTimo RopinskiPublished in: Bildverarbeitung für die Medizin (2024)
Keyphrases
- medical imaging
- deep learning
- restricted boltzmann machine
- medical images
- biomedical imaging
- image analysis
- computer vision
- image processing
- anatomical structures
- x ray
- unsupervised feature learning
- deep belief networks
- data mining
- medical image processing
- online learning
- image guided surgery
- three dimensional
- image segmentation
- machine learning