An improved automated type-based method for area assessment of wound surface.
Accurate and precise wound measurements are a critical component of wound detection and assessment. Digital cameras are convenient and objective tools that are being increasingly used worldwide to assist with wound measurements and assessments. However, heterogeneous wounds and poor lighting conditi...
| Publicado en: | Wound Repair & Regeneration Vol. 25; no. 1; pp. 150 - 159 |
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| Autores principales: | , , , , , |
| Formato: | algorithm pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jan/Feb2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121992629&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121992629 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10671927 DPV jtl: Wound Repair & Regeneration issn: 10671927 maglogo: Y pubinfo: dt: Jan/Feb2017 vid: 25 iid: 1 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 121992629 121992629 121992629 10.1111/wrr.12495 121992629 ppf: 150 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An improved automated type-based method for area assessment of wound surface. aug: au: Qi, Xin Ding, Lian Huang, Wenjian Wen, Bing Guo, Xiaohui Zhang, Jue affil: Department of Plastic Surgery & Burn, Peking University First Hospital, Beijing People's Republic of China sug: subj: Wounds, Chronic Diagnosis Wound Measurement Methods Wound Measurement Equipment and Supplies Digital Imaging Evaluation Automation Funding Source Models, Structural Human Algorithms Academic Medical Centers China Middle Age Aged Lighting Color Cluster Analysis Pearson's Correlation Coefficient P-Value T-Tests Regression Wounds, Chronic Classification Comparative Studies Time Factors Validity Wound Healing Descriptive Statistics Middle Aged: 45-64 years Aged: 65+ years ab: Accurate and precise wound measurements are a critical component of wound detection and assessment. Digital cameras are convenient and objective tools that are being increasingly used worldwide to assist with wound measurements and assessments. However, heterogeneous wounds and poor lighting conditions continue to be obstacles to wound area recognition. This study, therefore, provides an improved automated type-based wound area assessment method that is robust to lighting conditions and can distinguish between different wound tissues based on wound colors. The results of both laboratory and clinical applications of the proposed method show excellent consistency of manual area measurements. This proposed technology is expected to provide wound care specialists with more clinical information about heterogeneous wounds, thereby enabling prospective cost savings for therapy and treatment. pubtype: Academic Journal doctype: algorithm pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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