Application of Artificial Neural Network Models in Segmentation and Classification of Nodules in Breast Ultrasound Digital Images
المؤلفون المشاركون
Marcomini, Karem D.
Carneiro, Antonio A. O.
Schiabel, Homero
المصدر
International Journal of Biomedical Imaging
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-06-16
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
This research presents a methodology for the automatic detection and characterization of breast sonographic findings.
We performed the tests in ultrasound images obtained from breast phantoms made of tissue mimicking material.
When the results were considerable, we applied the same techniques to clinical examinations.
The process was started employing preprocessing (Wiener filter, equalization, and median filter) to minimize noise.
Then, five segmentation techniques were investigated to determine the most concise representation of the lesion contour, enabling us to consider the neural network SOM as the most relevant.
After the delimitation of the object, the most expressive features were defined to the morphological description of the finding, generating the input data to the neural Multilayer Perceptron (MLP) classifier.
The accuracy achieved during training with simulated images was 94.2%, producing an AUC of 0.92.
To evaluating the data generalization, the classification was performed with a group of unknown images to the system, both to simulators and to clinical trials, resulting in an accuracy of 90% and 81%, respectively.
The proposed classifier proved to be an important tool for the diagnosis in breast ultrasound.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Marcomini, Karem D.& Carneiro, Antonio A. O.& Schiabel, Homero. 2016. Application of Artificial Neural Network Models in Segmentation and Classification of Nodules in Breast Ultrasound Digital Images. International Journal of Biomedical Imaging،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1105446
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Marcomini, Karem D.…[et al.]. Application of Artificial Neural Network Models in Segmentation and Classification of Nodules in Breast Ultrasound Digital Images. International Journal of Biomedical Imaging No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1105446
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Marcomini, Karem D.& Carneiro, Antonio A. O.& Schiabel, Homero. Application of Artificial Neural Network Models in Segmentation and Classification of Nodules in Breast Ultrasound Digital Images. International Journal of Biomedical Imaging. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1105446
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1105446
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