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Texture Analysis of Abnormal Cell Images for Predicting the Continuum of Colorectal Cancer
المؤلفون المشاركون
Chaddad, Ahmad
Tanougast, Camel
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-01-17
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Abnormal cell (ABC) is a markedly heterogeneous tissue area and can be categorized into three main types: benign hyperplasia (BH), carcinoma (Ca), and intraepithelial neoplasia (IN) or precursor cancerous lesion.
In this study, the goal is to determine and characterize the continuum of colorectal cancer by using a 3D-texture approach.
ABC was segmented in preprocessing step using an active contour segmentation technique.
Cell types were analyzed based on textural features extracted from the gray level cooccurrence matrices (GLCMs).
Significant texture features were selected using an analysis of variance (ANOVA) of ABC with a p value cutoff of p < 0.01 .
Features selected were reduced with a principal component analysis (PCA), which accounted for 97% of the cumulative variance from significant features.
The simulation results identified 158 significant features based on ANOVA from a total of 624 texture features extracted from GLCMs.
Performance metrics of ABC discrimination based on significant texture features showed 92.59% classification accuracy, 100% sensitivity, and 94.44% specificity.
These findings suggest that texture features extracted from GLCMs are sensitive enough to discriminate between the ABC types and offer the opportunity to predict cell characteristics of colorectal cancer.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chaddad, Ahmad& Tanougast, Camel. 2017. Texture Analysis of Abnormal Cell Images for Predicting the Continuum of Colorectal Cancer. Analytical Cellular Pathology،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1121732
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chaddad, Ahmad& Tanougast, Camel. Texture Analysis of Abnormal Cell Images for Predicting the Continuum of Colorectal Cancer. Analytical Cellular Pathology No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1121732
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chaddad, Ahmad& Tanougast, Camel. Texture Analysis of Abnormal Cell Images for Predicting the Continuum of Colorectal Cancer. Analytical Cellular Pathology. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1121732
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1121732
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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