About the generalizability of deep learning based image quality assessment in mammography.
Josua FallerNarbota AmanovaRuben E. van EngenJörg MartinClemens ElsterPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- deep learning
- image quality assessment
- structural similarity
- quality assessment
- image quality
- human visual system
- unsupervised learning
- image database
- natural images
- machine learning
- correlation coefficient
- visual perception
- weakly supervised
- quality metrics
- human perception
- pattern recognition
- quality evaluation
- kullback leibler divergence
- quality measures
- mental models
- structural information
- input image
- semi supervised
- computer vision