Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study.
Alessio MascoliniDario CardamoneFrancesco PonzioSanta Di CataldoElisa FicarraPublished in: CoRR (2021)
Keyphrases
- case study
- input image
- image features
- learning algorithm
- image classification
- edge detection
- image database
- ground truth
- image data
- image analysis
- object recognition
- image annotation
- supervised learning
- segmentation algorithm
- image collections
- annotated images
- teaching mathematics
- unsupervised learning
- natural images
- learning process
- active learning
- image matching
- image understanding
- reinforcement learning
- discriminative learning
- image sequences
- computer vision