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FedMix Clinical Viewer
Clinical scans and AI overlays in a desktop viewer
Eshmun is a standalone medical image analysis and annotation viewer built for the FEDMix research project: Fusible Evolutionary Deep Neural Network Mixture Learning. The application gives researchers a cross-platform desktop environment for loading clinical scans, inspecting model output, and drawing or reviewing anatomical regions directly on top of medical image slices.
I worked on the research-software product layer, building the clinical imaging flow as a C++/Qt/VTK application for macOS, Windows, and Linux. Researchers can inspect grayscale scans, review color overlays, edit contours, and compare panels before deciding what to make of an experimental model output.
- Client
- Maastricht University
- Institution
- Netherlands eScience Center
- Tools & disciplines
- C++ · Qt · VTK · Medical Imaging · AI Validation
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