Brain Tumor Detection Using Deep Transfer Learning Method
- سال انتشار: 1400
- محل انتشار: فصلنامه پردازش سیگنال و انرژیهای تجدیدپذیر، دوره: 5، شماره: 3
- کد COI اختصاصی: JR_SPRE-5-3_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 453
نویسندگان
Department of Biomedical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Department of Biomedical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
Department of Electrical Engineering, Kazerun Branch, Islamic Azad University, Kazerun, Iran
چکیده
Accurate brain tumor MR images detection plays an important role in diagnosis and treatment decision making. The machine learning methods for classification only uses low-level or high-level features, to tackle the problem of classifications using some handcrafted features. Development on deep learning, transfer learning and deep convolution neural networks (CNNs) has shown great progress and has succeeded in the image classification task. Deep learning is very powerful for feature representation. In this study, deep transfer learning method for features extraction and detection is used that it does not use any handcrafted features, and needs minimal preprocessing. Transfer learning is a method of transferring information during training and testing. In this study, features extraction from images with pre-trained CNN method, namely, GoogLeNet, VGGNet and AlexNet, for tumor detection is used. The accuracy of tumor detection is ۹۹.۸۴%. The results show that our method, shows the best accuracy for detections tumorکلیدواژه ها
Brain tumor detection, deep learning, transfer learning, convolution neural networksاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.