A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images
المؤلفون المشاركون
Li, Li
Cai, Hongmin
Tian, Haiying
Zhang, Min
Cui, Chunyan
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-10-31
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Morphology of lymph nodal metastasis is critical for diagnosis and prognosis of cancer patients.
However, accurate prediction of lymph node type based on morphological information is rarely available due to lack of pathological validation.
To obtain correct morphological information, lymph nodes must be segmented from computed tomography (CT) image accurately.
In this paper we described a novel approach to segment and predict the status of lymph nodes from CT images and confirmed the diagnostic performance by clinical pathological results.
We firstly removed noise and preserved edge details using a revised nonlinear diffusion equation, and secondly we used a repulsive-force-based snake method to segment the lymph nodes.
Morphological measurements for the characterization of the node status were obtained from the segmented node image.
These measurements were further selected to derive a highly representative set of node status, called feature vector.
Finally, classical classification scheme based on support vector machine model was employed to simulate the prediction of nodal status.
Experiments on real clinical rectal cancer data showed that the prediction performance with the proposed framework is highly consistent with pathological results.
Therefore, this novel algorithm is promising for status prediction of lymph nodes.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cai, Hongmin& Cui, Chunyan& Tian, Haiying& Zhang, Min& Li, Li. 2012. A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-449355
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cai, Hongmin…[et al.]. A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-449355
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cai, Hongmin& Cui, Chunyan& Tian, Haiying& Zhang, Min& Li, Li. A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-449355
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-449355
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