Hybrid Model Structure for Diabetic Retinopathy Classification
المؤلفون المشاركون
Cheng, Siyi
Liu, Hao
Sun, Jie
Yue, Keqiang
Pan, Chengming
Li, Wenjun
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-13
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Diabetic retinopathy (DR) is one of the most common complications of diabetes and the main cause of blindness.
The progression of the disease can be prevented by early diagnosis of DR.
Due to differences in the distribution of medical conditions and low labor efficiency, the best time for diagnosis and treatment was missed, which results in impaired vision.
Using neural network models to classify and diagnose DR can improve efficiency and reduce costs.
In this work, an improved loss function and three hybrid model structures Hybrid-a, Hybrid-f, and Hybrid-c were proposed to improve the performance of DR classification models.
EfficientNetB4, EfficientNetB5, NASNetLarge, Xception, and InceptionResNetV2 CNNs were chosen as the basic models.
These basic models were trained using enhance cross-entropy loss and cross-entropy loss, respectively.
The output of the basic models was used to train the hybrid model structures.
Experiments showed that enhance cross-entropy loss can effectively accelerate the training process of the basic models and improve the performance of the models under various evaluation metrics.
The proposed hybrid model structures can also improve DR classification performance.
Compared with the best-performing results in the basic models, the accuracy of DR classification was improved from 85.44% to 86.34%, the sensitivity was improved from 98.48% to 98.77%, the specificity was improved from 71.82% to 74.76%, the precision was improved from 90.27% to 91.37%, and the F1 score was improved from 93.62% to 93.9% by using hybrid model structures.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Hao& Yue, Keqiang& Cheng, Siyi& Pan, Chengming& Sun, Jie& Li, Wenjun. 2020. Hybrid Model Structure for Diabetic Retinopathy Classification. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1186520
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Hao…[et al.]. Hybrid Model Structure for Diabetic Retinopathy Classification. Journal of Healthcare Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1186520
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Hao& Yue, Keqiang& Cheng, Siyi& Pan, Chengming& Sun, Jie& Li, Wenjun. Hybrid Model Structure for Diabetic Retinopathy Classification. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1186520
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1186520
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