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Efficient anomaly detection from medical signals and images..:

Khalil, Ali A. ; E. Ibrahim, Fatma ; Abbass, Mohamed Y....
International Journal for Numerical Methods in Biomedical Engineering. 38 (2021) 1 - p. , 2021

Link: https://doi.org/10.1002/cnm.3530

RT Journal
T1 <Title>Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems</Title>

UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_cnm.3530&Exemplar=1&LAN=DE
				
A1 Khalil, Ali A.
A1 E. Ibrahim, Fatma
A1 Abbass, Mohamed Y.
A1 Haggag, Nehad
A1 Mahrous, Yasser
A1 Sedik, Ahmed
A1 Elsherbeeny, Zeinab
A1 Khalaf, Ashraf A. M.
A1 Rihan, Mohamad
A1 El‐Shafai, Walid
A1 El‐Banby, Ghada M.
A1 Soltan, Eman
A1 Soliman, Naglaa F.
A1 Algarni, Abeer D.
A1 Al‐Hanafy, Waleed
A1 El‐Fishawy, Adel S.
A1 El‐Rabaie, El‐Sayed M.
A1 Al‐Nuaimy, Waleed
A1 Dessouky, Moawad I.
A1 Saleeb, Adel A.
A1 Messiha, Nagy W.
A1 El‐Dokany, Ibrahim M.
A1 El‐Bendary, Mohsen A. M.
A1 Abd El‐Samie, Fathi E.
PB Wiley
YR 2021
SN 2040-7939
SN 2040-7947
JF International Journal for Numerical Methods in Biomedical Engineering
VO 38
IS 1
LK http://dx.doi.org/https://doi.org/10.1002/cnm.3530
DO https://doi.org/10.1002/cnm.3530
SF ELIB - SuUB Bremen

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