Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning.
Lufan LiaoXin ZhangFenqiang ZhaoTao ZhongYuchen PeiXiangmin XuLi WangHe ZhangDinggang ShenGang LiPublished in: MICCAI (6) (2020)
Keyphrases
- deep learning
- image quality assessment
- structural similarity
- quality assessment
- image quality
- unsupervised learning
- human visual system
- magnetic resonance imaging
- image database
- machine learning
- human brain
- medical images
- quality metrics
- natural images
- information extraction
- weakly supervised
- natural scenes
- mr images
- correlation coefficient
- human perception
- magnetic resonance images
- white matter
- quality evaluation
- mental models
- visual perception
- kullback leibler divergence
- structural information
- high resolution
- medical imaging
- semi supervised
- training data
- quality measures
- image data
- image features
- visual attention
- visual information
- image classification