Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation
المؤلفون المشاركون
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-24
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Visual effects of medical image have a great impact on clinical assistant diagnosis.
At present, medical image fusion has become a powerful means of clinical application.
The traditional medical image fusion methods have the problem of poor fusion results due to the loss of detailed feature information during fusion.
To deal with it, this paper proposes a new multimodal medical image fusion method based on the imaging characteristics of medical images.
In the proposed method, the non-subsampled shearlet transform (NSST) decomposition is first performed on the source images to obtain high-frequency and low-frequency coefficients.
The high-frequency coefficients are fused by a parameter‐adaptive pulse-coupled neural network (PAPCNN) model.
The method is based on parameter adaptive and optimized connection strength β adopted to promote the performance.
The low-frequency coefficients are merged by the convolutional sparse representation (CSR) model.
The experimental results show that the proposed method solves the problems of difficult parameter setting and poor detail preservation of sparse representation during image fusion in traditional PCNN algorithms, and it has significant advantages in visual effect and objective indices compared with the existing mainstream fusion algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xia, Jingming& Lu, Yi& Tan, Ling. 2020. Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139395
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xia, Jingming…[et al.]. Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1139395
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xia, Jingming& Lu, Yi& Tan, Ling. Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139395
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139395
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