Abstract: An example for processing patient image data workflows can temporarily serially arrange a set of semantic labeling modules in a patient image data workflow pipeline responsive to receiving an event trigger. The example can also remove the set of modules from the patient image data workflow pipeline responsive to receiving an event completion trigger.

Abstract: The present discussion relates to patient image data workflows. One example can temporarily serially arrange a set of semantic labeling modules in a patient image data workflow pipeline responsive to receiving an event trigger. The example can also remove the set of modules from the patient image data workflow pipeline responsive to receiving an event completion trigger.

Abstract: The description relates to secure patient information handling. One example can receive encrypted patient data from a first entity. The example can receive a request to view the encrypted patient data from a second entity. The request can include a conditional access code and the example can validate the conditional access code. In an instance where the conditional access code is valid, the example can retrieve an encryption key for the encrypted patient data. The example can decrypt at least a portion of the encrypted patient data to produce decrypted patient data. The example can provide at least some of the decrypted patient data to the second entity.

Abstract: The present discussion relates to automated image data processing and visualization. One example can facilitate generating a graphical user-interface (GUI) from image data that includes multiple semantically-labeled user-selectable anatomical structures. This example can receive a user selection of an individual semantically-labeled user-selectable anatomical structure. The example can locate a sub-set of the image data associated with the individual semantically-labeled user-selectable anatomical structure and can cause presentation of the sub-set of the image data on a subsequent GUI.