Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems.
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| Title: | Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems. |
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| Authors: | Khalil AA; Department of Electronics and Communications, Faculty of Engineering, Minia University, Minia, Egypt., E Ibrahim F; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Abbass MY; Engineering Department, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt., Haggag N; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Mahrous Y; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Sedik A; Department of the Robotics and Intelligent Machines, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt., Elsherbeeny Z; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Khalaf AAM; Department of Electronics and Communications, Faculty of Engineering, Minia University, Minia, Egypt., Rihan M; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.; University of Cassino and Southern Lazio, Italy., El-Shafai W; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Banby GM; Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Soltan E; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Riyadh 11671, Saudi Arabia., Algarni AD; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Riyadh 11671, Saudi Arabia., Al-Hanafy W; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Fishawy AS; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Rabaie EM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Al-Nuaimy W; Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool, UK., Dessouky MI; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Saleeb AA; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Messiha NW; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Dokany IM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Bendary MAM; Department of Electronics Technology, Faculty of Technology and Education, Helwan University, Cairo, Egypt., Abd El-Samie FE; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Riyadh 11671, Saudi Arabia. |
| Source: | International journal for numerical methods in biomedical engineering [Int J Numer Method Biomed Eng] 2022 Jan; Vol. 38 (1), pp. e3530. Date of Electronic Publication: 2021 Dec 18. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley Country of Publication: England NLM ID: 101530293 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2040-7947 (Electronic) Linking ISSN: 20407939 NLM ISO Abbreviation: Int J Numer Method Biomed Eng Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2040-7947 |
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| DOI: | 10.1002/cnm.3530 |
