Case-based tissue classification for monitoring leg ulcer healing

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

Research output: Contribution to journalConference article

28 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.

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Leg Ulcer
Case based reasoning
Quality of Health Care
Process monitoring
Workload
Wound Healing
Standardization
Feature extraction
Textures
Tissue
Costs and Cost Analysis
Monitoring
Costs

Cite this

@article{b1f075ac2dde40fabbb75965867c3f95,
title = "Case-based tissue classification for monitoring leg ulcer healing",
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.",
author = "M. Galushka and H. Zheng and D. Patterson and L. Bradley",
year = "2005",
month = "11",
day = "10",
language = "English",
pages = "353--358",
journal = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",
issn = "1063-7125",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

Case-based tissue classification for monitoring leg ulcer healing. / Galushka, M.; Zheng, H.; Patterson, D.; Bradley, L.

In: Proceedings - IEEE Symposium on Computer-Based Medical Systems, 10.11.2005, p. 353-358.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Case-based tissue classification for monitoring leg ulcer healing

AU - Galushka, M.

AU - Zheng, H.

AU - Patterson, D.

AU - Bradley, L.

PY - 2005/11/10

Y1 - 2005/11/10

N2 - 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.

AB - 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.

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M3 - Conference article

SP - 353

EP - 358

JO - Proceedings - IEEE Symposium on Computer-Based Medical Systems

T2 - Proceedings - IEEE Symposium on Computer-Based Medical Systems

JF - Proceedings - IEEE Symposium on Computer-Based Medical Systems

SN - 1063-7125

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