Browsing by Author "Udayanga, SMR"

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    item: Conference-Full-text
    Skin Wound Analysis System
    Ranasinghe, CD; Igalawithana, TC; Udayanga, SMR; Hettiarachchi, SY; Chaminda, HT
    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.
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    item: Conference-Extended-Abstract
    Skin wound analysis system
    (2014-01-16) Ranasinghe, CD; lgalawithana, TC; Udayanga, SMR; Hettiarachchi, SY; Chaminda, HT
    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.