Explainability for deep learning in mammography image quality assessment.
Narbota AmanovaJörg MartinClemens ElsterPublished in: Mach. Learn. Sci. Technol. (2022)
Keyphrases
- deep learning
- image quality assessment
- quality assessment
- structural similarity
- image quality
- unsupervised learning
- image database
- human visual system
- mental models
- quality metrics
- machine learning
- natural images
- visual perception
- correlation coefficient
- quality measures
- quality evaluation
- human perception
- kullback leibler divergence
- weakly supervised
- visual quality
- natural scenes
- model selection
- graphical models
- low level
- high quality