Abstract: A computer-implemented method (40) reduces processing time of an application for visualizing image data, which application is one of a plurality of applications selectable by a user. Each of the plurality of applications includes a pre-processing algorithm for pre-processing the image data. The method predicts which one of the pre-processing algorithms is to be performed in response to a selection of an application by the user by: —extracting a feature vector from the image data, metadata, and/or additional data associated with the image data, —supplying the feature vector as input to a machine learned model, and —receiving an algorithm identifier as output from the machine learned model. The algorithm identifier identifies the pre-processing algorithm. Additionally, the algorithm identifier is used to select (42) the pre-processing algorithm. The image data is pre-processed (43) using the selected pre-processing algorithm.

Abstract: A computer-implemented method (40) of reducing processing time of an application for visualizing image data, the application being one of a plurality of applications selectable by a user and each of the plurality of applications comprising a pre-processing algorithm for pre-processing the image data.

Abstract: A computer-implemented method (40) of reducing processing time of an application for visualizing image data, the application being one of a plurality of applications selectable by a user and each of the plurality of applications comprising a pre-processing algorithm for pre-processing the image data.

Abstract: A computer-implemented method (40) of reducing processing time of an application for visualizing image data, the application being one of a plurality of applications selectable by a user and each of the plurality of applications comprising a pre-processing algorithm for pre-processing the image data.

Abstract: A method and apparatus for comparing two computing platforms installed with instances of an application, a portal or another computerized unit, wherein one computerized unit malfunctions when executed by the corresponding computing platform. The method and apparatus query the two computing platforms and the two instances for a multiplicity of values associated with a multiplicity of parameters that may influence the functionality, compare the parameter values and report the differences to a user, in order to enable the user to locate the root cause of the problem. The parameters may relate to the instances as well as to the computing platforms and their environment. The parameter retrieval and comparison can be performed by the apparatus, or by components of the instances for handling proprietary data types.

Abstract: A method and apparatus for comparing two computing platforms installed with instances of an application, a portal or another computerized unit, wherein one computerized unit malfunctions when executed by the corresponding computing platform. The method and apparatus query the two computing platforms and the two instances for a multiplicity of values associated with a multiplicity of parameters that may influence the functionality, compare the parameter values and report the differences to a user, in order to enable the user to locate the root cause of the problem. The parameters may relate to the instances as well as to the computing platforms and their environment. The parameter retrieval and comparison can be performed by the apparatus, or by components of the instances for handling proprietary data types.