Abstract: Systems and methods are provided for new data storage and management scheme for medical imaging solutions. Medical data storage and management processes, including at least a separation process and a recovery process, may be applied to a medical dataset. The separation process includes identifying blob data elements in the medical dataset, moving data of the identified blob data elements into corresponding separated data objects, and generating data for indicating the moving of data of and for tracking location of moved data of the identified blob data elements. The recovery process includes identifying removed blob data elements in a separated medical dataset, with data of the identified removed blob data elements moved into corresponding separated data objects, and for each identified removed blob data element determining, based on corresponding separation data, location of a corresponding separated data object; and retrieving, based on determined location, data of the removed blob data element.

Abstract: Techniques for orchestrating execution of algorithms on medical images according to pre-defined workflows and techniques for managing workflow and model execution are provided. In an embodiment, a system comprises a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory.

Abstract: Techniques for orchestrating execution of algorithms on medical images according to pre-defined workflows and techniques for managing workflow and model execution are provided. In an embodiment, a system comprises a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory.