Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network
المؤلفون المشاركون
Tello-Mijares, Santiago
Flores, Francisco
Woo, Fomuy
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-11-03
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Breast cancer is the most common cancer among women worldwide with about half a million cases reported each year.
Mammary thermography can offer early diagnosis at low cost if adequate thermographic images of the breasts are taken.
The identification of breast cancer in an automated way can accelerate many tasks and applications of pathology.
This can help complement diagnosis.
The aim of this work is to develop a system that automatically captures thermographic images of breast and classifies them as normal and abnormal (without cancer and with cancer).
This paper focuses on a segmentation method based on a combination of the curvature function k and the gradient vector flow, and for classification, we proposed a convolutional neural network (CNN) using the segmented breast.
The aim of this paper is to compare CNN results with other classification techniques.
Thus, every breast is characterized by its shape, colour, and texture, as well as left or right breast.
These data were used for training as well as to compare the performance of CNN with three classification techniques: tree random forest (TRF), multilayer perceptron (MLP), and Bayes network (BN).
CNN presents better results than TRF, MLP, and BN.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tello-Mijares, Santiago& Woo, Fomuy& Flores, Francisco. 2019. Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1175513
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tello-Mijares, Santiago…[et al.]. Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network. Journal of Healthcare Engineering No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1175513
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tello-Mijares, Santiago& Woo, Fomuy& Flores, Francisco. Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1175513
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175513
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