Automated assessment of wound pathology in clinical practice

Herbert F. Jelinek; M. Prinz; H. Farquhar; T. Wild

doi:10.1007/978-3-642-03882-2_220

Automated assessment of wound pathology in clinical practice

Herbert F. Jelinek
, M. Prinz
, H. Farquhar
, T. Wild

Biomedical Engineering & Biotechnology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Diabetes and its complications is increasing world-wide, making the identification and of disease progression and appropriate management increasingly difficult. Ulceration of the lower limb is a common complication of diabetes and requires careful assessment and follow-up of the wound characteristics. The lack of wound specialists and economic factors such as time to attend an appointment in metropolitan clinics as well as travel has led to the development of The Wound Healing Analysis Tool (WHAT). The program was tested on 16 images obtained at a podiatric health clinic and results compared to the clinical specialist. The program achieved 87% accuracy for this trial indicating that it may be a useful adjunct for initial screening of wounds and effectiveness of treatment outcomes.

Original language	British English
Title of host publication	World Congress on Medical Physics and Biomedical Engineering
Subtitle of host publication	Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Publisher	Springer Verlag
Pages	828-830
Number of pages	3
Edition	4
ISBN (Print)	9783642038815
DOIs	https://doi.org/10.1007/978-3-642-03882-2_220
State	Published - 2009
Event	World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany Duration: 7 Sep 2009 → 12 Sep 2009

Publication series

Name	IFMBE Proceedings
Number	4
Volume	25
ISSN (Print)	1680-0737

Conference

Conference	World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Country/Territory	Germany
City	Munich
Period	7/09/09 → 12/09/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Automated classification
Image analysis
Segmentation
Wounds

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10.1007/978-3-642-03882-2_220

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Jelinek, H. F., Prinz, M., Farquhar, H., & Wild, T. (2009). Automated assessment of wound pathology in clinical practice. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics (4 ed., pp. 828-830). (IFMBE Proceedings; Vol. 25, No. 4). Springer Verlag. https://doi.org/10.1007/978-3-642-03882-2_220

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abstract = "Diabetes and its complications is increasing world-wide, making the identification and of disease progression and appropriate management increasingly difficult. Ulceration of the lower limb is a common complication of diabetes and requires careful assessment and follow-up of the wound characteristics. The lack of wound specialists and economic factors such as time to attend an appointment in metropolitan clinics as well as travel has led to the development of The Wound Healing Analysis Tool (WHAT). The program was tested on 16 images obtained at a podiatric health clinic and results compared to the clinical specialist. The program achieved 87\% accuracy for this trial indicating that it may be a useful adjunct for initial screening of wounds and effectiveness of treatment outcomes.",

keywords = "Automated classification, Image analysis, Segmentation, Wounds",

author = "Jelinek, \{Herbert F.\} and M. Prinz and H. Farquhar and T. Wild",

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Jelinek, HF, Prinz, M, Farquhar, H & Wild, T 2009, Automated assessment of wound pathology in clinical practice. in World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4 edn, IFMBE Proceedings, no. 4, vol. 25, Springer Verlag, pp. 828-830, World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, Munich, Germany, 7/09/09. https://doi.org/10.1007/978-3-642-03882-2_220

Automated assessment of wound pathology in clinical practice. / Jelinek, Herbert F.; Prinz, M.; Farquhar, H. et al.
World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4. ed. Springer Verlag, 2009. p. 828-830 (IFMBE Proceedings; Vol. 25, No. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Diabetes and its complications is increasing world-wide, making the identification and of disease progression and appropriate management increasingly difficult. Ulceration of the lower limb is a common complication of diabetes and requires careful assessment and follow-up of the wound characteristics. The lack of wound specialists and economic factors such as time to attend an appointment in metropolitan clinics as well as travel has led to the development of The Wound Healing Analysis Tool (WHAT). The program was tested on 16 images obtained at a podiatric health clinic and results compared to the clinical specialist. The program achieved 87% accuracy for this trial indicating that it may be a useful adjunct for initial screening of wounds and effectiveness of treatment outcomes.

AB - Diabetes and its complications is increasing world-wide, making the identification and of disease progression and appropriate management increasingly difficult. Ulceration of the lower limb is a common complication of diabetes and requires careful assessment and follow-up of the wound characteristics. The lack of wound specialists and economic factors such as time to attend an appointment in metropolitan clinics as well as travel has led to the development of The Wound Healing Analysis Tool (WHAT). The program was tested on 16 images obtained at a podiatric health clinic and results compared to the clinical specialist. The program achieved 87% accuracy for this trial indicating that it may be a useful adjunct for initial screening of wounds and effectiveness of treatment outcomes.

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KW - Image analysis

KW - Segmentation

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ER -

Automated assessment of wound pathology in clinical practice

Abstract

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UN SDGs

Keywords

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