Abstract:
In modern medical science, there is a growing trend
of applying Information Technology into manual routines.
Automated skin wound analysis is a novel approach in
treatment of skin wounds. The system is intended to analyze
different types of skin wounds/lesions by using digital image
processing techniques. Diabetic ulcers, skin-grafted burn
wounds and nail lesions have been chosen for analysis. Nail
lesions require an identification process whereas diabetic
ulcers and skin-grafted burn wounds require an analysis of
the healing process. A semantic web search is performed in
order to verify the identification of nail lesions. The system
also generates line graphs in order to facilitate the assessment
of the healing process. A 3D model of the diabetic ulcer is
created based on the data captured by an IR sensor-based
mechanism. This wound analysis system is expected to help
the doctor’s diagnosis process immensely. The system
provides quantitative and accurate results on wound healing.
Moreover, it supports better comparisons and decision
making.
