Table of Contents - F.781.1 (06/2024) - General framework of quality control of medical images for machine learning applications

1	Scope
2	References
3	Definitions
	3.1	Terms defined elsewhere
	3.2	Terms defined in this Recommendation
4	Abbreviations and acronyms
5	Conventions
6	Background
7	Workflow of data quality control
8	Requirements of medical input image
9	Requirements of medical image integration
10	Requirements of medical image annotation
11	Criteria on data quality for machine learning applications
	11.1	Criteria on the type of segmentation for images
	11.2	Criteria on data distributions, data consistency and consistency in data annotation process
	11.3	Criteria on data governance and privacy considerations
Bibliography