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An Entropy-Based Automated Cell Nuclei Segmentation and Quantification : Application in Analysis of Wound Healing Process
المؤلفون المشاركون
Oswal, Varun
Najarian, Kayvan
Belle, Ashwin
Diegelmann, Robert F.
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-03-05
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
The segmentation and quantification of cell nuclei are two very significant tasks in the analysis of histological images.
Accurate results of cell nuclei segmentation are often adapted to a variety of applications such as the detection of cancerous cell nuclei and the observation of overlapping cellular events occurring during wound healing process in the human body.
In this paper, an automated entropy-based thresholding system for segmentation and quantification of cell nuclei from histologically stained images has been presented.
The proposed translational computation system aims to integrate clinical insight and computational analysis by identifying and segmenting objects of interest within histological images.
Objects of interest and background regions are automatically distinguished by dynamically determining 3 optimal threshold values for the 3 color components of an input image.
The threshold values are determined by means of entropy computations that are based on probability distributions of the color intensities of pixels and the spatial similarity of pixel intensities within neighborhoods.
The effectiveness of the proposed system was tested over 21 histologically stained images containing approximately 1800 cell nuclei, and the overall performance of the algorithm was found to be promising, with high accuracy and precision values.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Oswal, Varun& Belle, Ashwin& Diegelmann, Robert F.& Najarian, Kayvan. 2013. An Entropy-Based Automated Cell Nuclei Segmentation and Quantification : Application in Analysis of Wound Healing Process. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-483457
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Oswal, Varun…[et al.]. An Entropy-Based Automated Cell Nuclei Segmentation and Quantification : Application in Analysis of Wound Healing Process. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-483457
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Oswal, Varun& Belle, Ashwin& Diegelmann, Robert F.& Najarian, Kayvan. An Entropy-Based Automated Cell Nuclei Segmentation and Quantification : Application in Analysis of Wound Healing Process. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-483457
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-483457
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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