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Adaptive Localization of Focus Point Regions via Random Patch Probabilistic Density from Whole-Slide, Ki-67-Stained Brain Tumor Tissue
المؤلفون المشاركون
Sheikh Abdullah, Siti Norul Huda
Omar, Khairuddin
MdZin, Reena Rahayu
Alomari, Yazan M.
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-02-22
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Analysis of whole-slide tissue for digital pathology images has been clinically approved to provide a second opinion to pathologists.
Localization of focus points from Ki-67-stained histopathology whole-slide tissue microscopic images is considered the first step in the process of proliferation rate estimation.
Pathologists use eye pooling or eagle-view techniques to localize the highly stained cell-concentrated regions from the whole slide under microscope, which is called focus-point regions.
This procedure leads to a high variety of interpersonal observations and time consuming, tedious work and causes inaccurate findings.
The localization of focus-point regions can be addressed as a clustering problem.
This paper aims to automate the localization of focus-point regions from whole-slide images using the random patch probabilistic density method.
Unlike other clustering methods, random patch probabilistic density method can adaptively localize focus-point regions without predetermining the number of clusters.
The proposed method was compared with the k -means and fuzzy c -means clustering methods.
Our proposed method achieves a good performance, when the results were evaluated by three expert pathologists.
The proposed method achieves an average false-positive rate of 0.84% for the focus-point region localization error.
Moreover, regarding RPPD used to localize tissue from whole-slide images, 228 whole-slide images have been tested; 97.3% localization accuracy was achieved.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Alomari, Yazan M.& Sheikh Abdullah, Siti Norul Huda& MdZin, Reena Rahayu& Omar, Khairuddin. 2015. Adaptive Localization of Focus Point Regions via Random Patch Probabilistic Density from Whole-Slide, Ki-67-Stained Brain Tumor Tissue. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1057964
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Alomari, Yazan M.…[et al.]. Adaptive Localization of Focus Point Regions via Random Patch Probabilistic Density from Whole-Slide, Ki-67-Stained Brain Tumor Tissue. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1057964
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Alomari, Yazan M.& Sheikh Abdullah, Siti Norul Huda& MdZin, Reena Rahayu& Omar, Khairuddin. Adaptive Localization of Focus Point Regions via Random Patch Probabilistic Density from Whole-Slide, Ki-67-Stained Brain Tumor Tissue. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1057964
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057964
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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