An Application for Skin Macules Characterization Based on a 3-Stage Image-Processing Algorithm for Patients with Diabetes
المؤلفون المشاركون
Vera, A.
Leija, L.
Toledo-Peral, Cinthya Lourdes
Gutiérrez-Martínez, Josefina
Ramos Becerril, Francisco José
Vega Martínez, Gabriel
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-16
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Diabetic skin manifestations, previous to ulcers and wounds, are not highly accounted as part of diagnosis even when they represent the first symptom of vascular damage and are present in up to 70% of patients with diabetes mellitus type II.
Here, an application for skin macules characterization based on a three-stage segmentation and characterization algorithm used to classify vascular, petechiae, trophic changes, and trauma macules from digital photographs of the lower limbs is presented.
First, in order to find the skin region, a logical multiplication is performed on two skin masks obtained from color space transformations; dynamic thresholds are stabilised to self-adjust to a variety of skin tones.
Then, in order to locate the lesion region, illumination enhancement is performed using a chromatic model color space, followed by a principal component analysis gray-scale transformation.
Finally, characteristics of each type of macule are considered and classified; morphologic properties (area, axes, perimeter, and solidity), intensity properties, and a set of shade indices (red, green, blue, and brown) are proposed as a measure to obviate skin color differences among subjects.
The values calculated show differences between macules with a statistical significance, which agree with the physician’s diagnosis.
Later, macule properties are fed to an artificial neural network classifier, which proved a 97.5% accuracy, to differentiate between them.
Characterization is useful in order to track macule changes and development along time, provides meaningful information to provide early treatments, and offers support in the prevention of amputations due to diabetic feet.
A graphical user interface was designed to show the properties of the macules; this application could be the background of a future Diagnosis Assistance Tool for educational (i.e., untrained physicians) and preventive assistance technology purposes.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Toledo-Peral, Cinthya Lourdes& Ramos Becerril, Francisco José& Vega Martínez, Gabriel& Vera, A.& Leija, L.& Gutiérrez-Martínez, Josefina. 2018. An Application for Skin Macules Characterization Based on a 3-Stage Image-Processing Algorithm for Patients with Diabetes. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1191394
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Toledo-Peral, Cinthya Lourdes…[et al.]. An Application for Skin Macules Characterization Based on a 3-Stage Image-Processing Algorithm for Patients with Diabetes. Journal of Healthcare Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1191394
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Toledo-Peral, Cinthya Lourdes& Ramos Becerril, Francisco José& Vega Martínez, Gabriel& Vera, A.& Leija, L.& Gutiérrez-Martínez, Josefina. An Application for Skin Macules Characterization Based on a 3-Stage Image-Processing Algorithm for Patients with Diabetes. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1191394
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191394
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر