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Efficient anomaly detection from medical signals and images

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Year: 2019
Type: article
Source: International Journal of Speech Technology
DOI: 10.1007/s10772-019-09610-z
Authors: Ahmed Sedik, Heba M. Emara, Asmaa Hamad, Eman M. Shahin, Noha A. El-Hag, Ali Khalil, Fatma Ibrahim, Zeinab M. Elsherbeny, Mahmoud Elreefy, O. Zahran, Heba A. El-Khobby, Ghada M. El Banby, Mohamed Elwakeil, Walid El-Shafai, Ashraf A. M. Khalaf, Mohamed Rihan, Waleed Al-Nuaimy, Taha E. Taha, Mahmoud A. Attia, Adel S. El-Fishawy, El-Sayed M. El-Rabaie, Moawad I. Dessouky, Nagy W. Messiha, Ibrahim M. Eldokany, Turky N. Alotaiby, Saleh A. Alshebeili, Fathi E. Abd El-Samie
Institutions: Kafrelsheikh University, Menoufia University, Minia University, Tanta University, University of Liverpool, King Abdulaziz City for Science and Technology, King Saud University
Language: English

Topic: Anomaly Detection Techniques and Applications
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W2966106982
FWCI: 1.409
Cites: 49
Cited by: 26
Related to: 10
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