Fusion of Multi-view Tissue Classification Based on Wound 3D Model
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Computers in Biology and Medicine
Detection and classification of granulation tissue in chronic ulcers
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part I
Imaging technologies applied to chronic wounds: a survey
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
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The ability to automatically monitor the wound healing process would reduce the workload of professionals, provide standardization, reduce costs, and improve the quality of care for patients. Here we propose an automatic monitoring system for leg ulcers based on case-based reasoning. We focus on the first stage of the monitoring process in this work, that of tissue classification and examine a number of different feature extraction techniques based on texture and Red, Green, and Blue histograms. Results clearly show a case-based approach to be ideal for this type of task.