Abstract: Automated ultrasound (US) image analysis is hindered by challenges stemming from low resolution, noise, and non-uniform grayscale distribution, which compromise image quality. While many ...

In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing (CVDP-DB) ...

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A modular, professional HL7 v2.x message engine. It provides a fluent builder API for constructing messages and a robust parser for converting raw clinical data into structured, semantically labeled ...

Results: The “fall prevention” use case was developed as part of a German nursing minimum dataset for long-term residential care with 8 basic modules (patient or client demographics) and 11 extension ...