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dc.contributor.author Ranasinghe, CD
dc.contributor.author lgalawithana, TC
dc.contributor.author Udayanga, SMR
dc.contributor.author Hettiarachchi, SY
dc.contributor.author Chaminda, HT
dc.date.accessioned 2014-01-16T18:27:50Z
dc.date.available 2014-01-16T18:27:50Z
dc.date.issued 2014-01-16
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/9808
dc.description.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. en_US
dc.language.iso en en_US
dc.title Skin wound analysis system en_US
dc.type Conference-Extended-Abstract en_US
dc.identifier.year 2013 en_US
dc.identifier.conference ITRU Research Symposium - 2013 en_US
dc.identifier.pgnos 48-53 en_US
dc.identifier.proceeding Innovations for the next Generation of IT en_US
dc.identifier.email charakadr@gmail.com en_US
dc.identifier.email thanujc@gmail.com en_US
dc.identifier.email rasikaudayangasjagrnail.com en_US
dc.identifier.email sarn ithahet@gmail.com en_US
dc.identifier.email thilakc@uom.lk en_US


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