Abstract

In the domain of medical imaging, the role of automated image interpretation tools is becoming increasingly critical in facilitating the diagnosis and treatment of diverse diseases. The escalating volume and intricacy of medical images necessitate the development of advanced tools that can support automatic image analysis. This paper outlines work associated with the design and implementation of a plugin for semi automated interpretation of medical images for the free and open source DICOM viewers, specifically DICOM viewers embedded inside the Orthanc server.

Year of Publication
2023
Number of Pages
53
Type
Postgraduate Diploma Dissertation
Institution
The University of Zambia
City
Lusaka
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