A JAVA Framework For Analysing And Processing Wound Images For Medical Education
Augustin Prodan, M. Rusu, Remus Câmpean, Roman Prodan · 2006
The paper presents a Java framework for analysing and processing wound images, which are incorporated in e-learning tools, to be used by both the students and the teaching staff in their didactic and research activities. We implement in Java traditional methods and algorithms for analysing a digital picture of a wound from a specific distance, for identifying its boundaries and for calculating its area. We build in Java models for various categories of wounds, due to aetiologies such as pressure, burn, chilblain, vascular insufficiencies, diabetic foot ulcer, venous leg ulcer and other chronic disease states. Based on colour and texture analysis, we identify the main barriers to wound healing, such as tissue non-viable, infection, inflammation, moisture imbalance, or edge non-advancing. The Java framework provides the infrastructure for preparing e-learning scenarios based on practice and real world experiences. Also, we rely on new paradigms of artificial intelligence (Bayesian Inference, Case Based Reasoning and Intelligent Agents) for creating e-learning scenarios to be used in a context of active learning. To implement these e-learning tools, we use Java technologies for dynamic processes and XML technologies for dynamic content (data and documents).