Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning.
Sudhakar TummalaVenkata Sainath Gupta ThadikemallaBarbara A. K. KreilkampErik B. DamNiels K. FockePublished in: Comput. Biol. Medicine (2021)
Keyphrases
- fully automated
- quality control
- big data
- manual segmentation
- machine learning
- data science
- data analysis
- machine vision
- fully automatic
- image registration
- knowledge discovery
- quality assurance
- manufacturing systems
- magnetic resonance imaging
- data management
- data processing
- cloud computing
- big data analytics
- affine transformation
- social media
- mr images
- vast amounts of data
- business intelligence
- medical imaging
- unstructured data
- product quality
- magnetic resonance images
- predictive modeling
- data warehousing
- medical images
- data mining
- statistical learning
- text mining
- automated visual inspection
- information extraction
- nonrigid registration
- completely automated
- decision making
- computer vision
- databases
- information processing
- vision system
- massive datasets