On the effect of decomposition granularity on DeTraC for COVID-19 detection using chest X-ray images

Nicole Panashe Mugova; Mohammed M. Abdelsamea; Mohamed Medhat Gaber

On the effect of decomposition granularity on DeTraC for COVID-19 detection using chest X-ray images

Nicole Panashe Mugova, Mohammed M. Abdelsamea^*, Mohamed Medhat Gaber

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Original language	English
Pages (from-to)	29-34
Number of pages	6
Journal	Proceedings - European Council for Modelling and Simulation, ECMS
Volume	35
Issue number	1
Publication status	Published (VoR) - 1 Jun 2021
Event	35th ECMS International Conference on Modelling and Simulation, ECMS 2021 - Virtual, Online, United Kingdom Duration: 31 May 2021 → 2 Jun 2021

Cite this

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title = "On the effect of decomposition granularity on DeTraC for COVID-19 detection using chest X-ray images",

author = "Mugova, {Nicole Panashe} and Abdelsamea, {Mohammed M.} and Gaber, {Mohamed Medhat}",

note = "Publisher Copyright: {\textcopyright} ECMS Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela (Editors); 35th ECMS International Conference on Modelling and Simulation, ECMS 2021 ; Conference date: 31-05-2021 Through 02-06-2021",

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T1 - On the effect of decomposition granularity on DeTraC for COVID-19 detection using chest X-ray images

AU - Mugova, Nicole Panashe

AU - Abdelsamea, Mohammed M.

AU - Gaber, Mohamed Medhat

N1 - Publisher Copyright: © ECMS Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela (Editors)

PY - 2021/6/1

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M3 - Conference article

AN - SCOPUS:85108203923

SN - 2522-2414

VL - 35

SP - 29

EP - 34

JO - Proceedings - European Council for Modelling and Simulation, ECMS

JF - Proceedings - European Council for Modelling and Simulation, ECMS

IS - 1

T2 - 35th ECMS International Conference on Modelling and Simulation, ECMS 2021

Y2 - 31 May 2021 through 2 June 2021

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On the effect of decomposition granularity on DeTraC for COVID-19 detection using chest X-ray images

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