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Laboratory error detection is a hard task yet plays an important role in efficient care of the patients. Quality controls are inadequate in detecting pre-analytic errors and are not frequent enough. Hence population- and patient-based detectors are developed. However, it is not clear what set of analytes leads to the most efficient error detectors. Here, we use three different scoring functions that...
Investigating the variation of clinical measurements of patients over time is a common technique, known as delta check, for detecting laboratory errors. They are based on the expected biological variations and machine imprecision, where the latter varies for different concentrations of the analytes. Here, we present a novel delta check method in the form of composite thresholding, and provide its...
Reflectance confocal microscopy (RCM) is a non-invasive and in-vivo imaging modality, which can take images from different depths of the human skin. A challenging problem is to detect a clinically important subsurface section of the skin, the Dermis/Epidermis junction, in RCM images. This is a tough problem because of the huge variation of texture and intensity features across both intersubject and...
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