Case-based tissue classification for monitoring leg ulcer healing

M. Galushka, H. Zheng, D. Patterson, L. Bradley

Research output: Contribution to journalConference article

29 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)353-358
Number of pages6
JournalProceedings - IEEE Symposium on Computer-Based Medical Systems
Publication statusPublished - 10 Nov 2005
Event18th IEEE Symposium on Computer-Based Medical Systems - Dublin, Ireland, United Kingdom
Duration: 23 Jun 200524 Jun 2005

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