Deep learning convolutional networks for image quality assessment in ultra-widefield fluorescein angiography.
Jon WhitneyHenry LiSunil K. SrivastavaJenna HachJamie ReeseAmit VasanjiJustis P. EhlersPublished in: Medical Imaging: Digital Pathology (2020)
Keyphrases
- deep learning
- image quality assessment
- structural similarity
- quality assessment
- unsupervised feature learning
- image quality
- unsupervised learning
- machine learning
- restricted boltzmann machine
- human visual system
- image database
- deep belief networks
- natural images
- visual perception
- weakly supervised
- quality evaluation
- mental models
- quality measures
- probabilistic model
- image processing
- computer vision
- human perception
- quality metrics
- correlation coefficient
- maximum likelihood
- supervised learning
- kullback leibler divergence
- semi supervised
- active learning