Abstract: A computer-based diagnostic system includes an image generation unit adapted to generate tomographic images of a patient's organ; a deep machine learning unit configured to process generated tomographic images of the patient's organ to classify organ regions of diseased functional tissue of the patient's organ as belonging to one of a set of abnormal image patterns using trained deep neural networks; and a clinical decision support unit adapted to process classification results of the deep machine learning unit to calculate a diagnostic result output via an interface of the clinical decision support unit.

Abstract: A method for analysing a medical imaging data set is disclosed. In an embodiment, the method includes providing the medical imaging data set; assigning a probability value for a negative finding, in particular for a negative finding of a specific type of abnormality, to the medical imaging data set. The probability value is based on the image data set; and providing the medical imaging data set automatically either to an output device for analysing the medical imaging data set or to a device for storing the medical imaging data set based on the probability value.

Abstract: A computer-based diagnostic system includes an image generation unit adapted to generate tomographic images of a patient's organ; a deep machine learning unit configured to process generated tomographic images of the patient's organ to classify organ regions of diseased functional tissue of the patient's organ as belonging to one of a set of abnormal image patterns using trained deep neural networks; and a clinical decision support unit adapted to process classification results of the deep machine learning unit to calculate a diagnostic result output via an interface of the clinical decision support unit.

Abstract: A method is for imaging an examination region of an object to be examined, the examination region including a first contrast medium and a second contrast medium different from the first contrast medium. In an embodiment, the method includes acquisition and generation. In the acquisition, first projection scan data is acquired in an examination region with a first energy range and second projection scan data, different from the first projection scan data, is acquired with a second energy range different from the first energy range. In the generation, a first image is generated based upon the first projection scan data and the second projection scan data and the first image has furthermore only isolated first information of the first contrast medium, only isolated second information of the second contrast medium, or isolated first information of the first contrast medium together with isolated second information of the second contrast medium.

Abstract: A method for access control to installation control systems of wind energy installations. The method includes receiving a requested user name and a requested password, wherein authorizations and checking information are coded in the requested password. The method further includes decoding the authorizations and the checking information from the requested password, checking the requested user name on the basis of the decoded checking information, checking the decoded authorizations if the check of the requested user name on the basis of the decoded checking information has a positive result, and allowing access to an installation control system of a wind energy installation when the decoded authorizations are sufficient. A wind energy installation for implementing the method includes an installation control system and a decoding unit.

Abstract: A method for access control to installation control systems of wind energy installations. The method includes receiving a requested user name and a requested password, wherein authorizations and checking information are coded in the requested password. The method further includes decoding the authorizations and the checking information from the requested password, checking the requested user name on the basis of the decoded checking information, checking the decoded authorizations if the check of the requested user name on the basis of the decoded checking information has a positive result, and allowing access to an installation control system of a wind energy installation when the decoded authorizations are sufficient. A wind energy installation for implementing the method includes an installation control system and a decoding unit.

Abstract: A detector and a computed tomography unit are disclosed. The detector includes a first detector region for acquiring projections of a first projection direction, and additionally includes at least a second and a third detector region for acquiring projections of a second and a third projection direction. Given appropriate operation of the detector, it is possible to carry out flexible scanning of an examination area in an optional fashion with a high time resolution, a high volume coverage or with a large coverage of a cross section of the examination area, doing so perpendicular to the system axis of the computed tomography unit.

Abstract: A detector and a computed tomography unit are disclosed. The detector includes a first detector region for acquiring projections of a first projection direction, and additionally includes at least a second and a third detector region for acquiring projections of a second and a third projection direction. Given appropriate operation of the detector, it is possible to carry out flexible scanning of an examination area in an optional fashion with a high time resolution, a high volume coverage or with a large coverage of a cross section of the examination area, doing so perpendicular to the system axis of the computed tomography unit.