A selective mitigation technique of soft errors for DNN models used in healthcare applications: DenseNet201 case study

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A selective mitigation technique of soft errors for DNN models used in healthcare applications: DenseNet201 case study

Deep neural networks (DNNs) have been successfully deployed in widespread domains, including healthcare applications. DenseNet201 is a new DNN architecture used in healthcare systems (i.e., presence detection of the surgical tool). Specialized accelerators such as GPUs have been used to speed up the...

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Bibliographic Details
Main Authors:	Adam, Khalid, Izzeldin, I. Mohd, Ibrahim, Younis
Format:	Article
Language:	English
Published:	IEEE 2021
Subjects:	QA76 Computer software T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/31730/ http://umpir.ump.edu.my/id/eprint/31730/1/A%20selective%20mitigation%20technique%20of%20soft%20errors.pdf

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