Cirrhosis Classification Based on Texture Classification of Random Features
المؤلفون المشاركون
Liu, Hui
Zhao, Zuowei
Zheng, Yuanjie
Qiu, Tianshuang
Shao, Ying
Guo, Dongmei
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-02-24
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Accurate staging of hepatic cirrhosis is important in investigating the cause and slowing down the effects of cirrhosis.
Computer-aided diagnosis (CAD) can provide doctors with an alternative second opinion and assist them to make a specific treatment with accurate cirrhosis stage.
MRI has many advantages, including high resolution for soft tissue, no radiation, and multiparameters imaging modalities.
So in this paper, multisequences MRIs, including T1-weighted, T2-weighted, arterial, portal venous, and equilibrium phase, are applied.
However, CAD does not meet the clinical needs of cirrhosis and few researchers are concerned with it at present.
Cirrhosis is characterized by the presence of widespread fibrosis and regenerative nodules in the hepatic, leading to different texture patterns of different stages.
So, extracting texture feature is the primary task.
Compared with typical gray level cooccurrence matrix (GLCM) features, texture classification from random features provides an effective way, and we adopt it and propose CCTCRF for triple classification (normal, early, and middle and advanced stage).
CCTCRF does not need strong assumptions except the sparse character of image, contains sufficient texture information, includes concise and effective process, and makes case decision with high accuracy.
Experimental results also illustrate the satisfying performance and they are also compared with typical NN with GLCM.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Hui& Shao, Ying& Guo, Dongmei& Zheng, Yuanjie& Zhao, Zuowei& Qiu, Tianshuang. 2014. Cirrhosis Classification Based on Texture Classification of Random Features. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-479509
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Hui…[et al.]. Cirrhosis Classification Based on Texture Classification of Random Features. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-479509
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Hui& Shao, Ying& Guo, Dongmei& Zheng, Yuanjie& Zhao, Zuowei& Qiu, Tianshuang. Cirrhosis Classification Based on Texture Classification of Random Features. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-479509
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-479509
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