In this way, the self-configuring GUI is generated on-the-fly, so that just specific functionalities are active according to the current clinical scenario. Specifically, we designed a DICOM based mechanism of data-driven GUI generation, referring to the examined body part and imaging modality as well as to the medical image analysis task to perform. This paper proposes a software framework aimed at addressing the issues outlined before. In clinical environments, a GUI must represent a sequence of steps for image investigation following a well-defined workflow. As a consequence, the physician may be affected by cognitive overload and visual stress causing a degradation of performances, mainly due to unuseful widgets. Nevertheless, the corresponding Graphical User Interface (GUI) widgets are still present on the screen reducing the image visualization area. Unfortunately, some functionalities are specialized for specific diseases or imaging modalities, while other ones are useless for the images under investigation. Computer applications for diagnostic medical imaging provide generally a wide range of tools to support physicians in their daily diagnosis activities.
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