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A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems.

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Title: A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems.
Authors: Heidari A; Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran., Javaheri D; Department of Computer Engineering, Chosun University, Gwangju 61452, Republic of Korea., Toumaj S; Urmia University of Medical Sciences, Urmia, Iran., Navimipour NJ; Department of Computer Engineering, Kadir Has University, Istanbul, Turkiye; Future Technology Research Center, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan. Electronic address: nima.navimipour@khas.edu.tr., Rezaei M; Tabriz University of Medical Sciences, Faculty of Surgery, Tabriz, Iran., Unal M; Department of Computer Engineering, Nisantasi University, Istanbul, Turkiye.
Source: Artificial intelligence in medicine [Artif Intell Med] 2023 Jul; Vol. 141, pp. 102572. Date of Electronic Publication: 2023 May 04.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems.
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  Data: <searchLink fieldCode="AU" term="%22Heidari+A%22">Heidari A</searchLink>; Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran.<br /><searchLink fieldCode="AU" term="%22Javaheri+D%22">Javaheri D</searchLink>; Department of Computer Engineering, Chosun University, Gwangju 61452, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Toumaj+S%22">Toumaj S</searchLink>; Urmia University of Medical Sciences, Urmia, Iran.<br /><searchLink fieldCode="AU" term="%22Navimipour+NJ%22">Navimipour NJ</searchLink>; Department of Computer Engineering, Kadir Has University, Istanbul, Turkiye; Future Technology Research Center, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan. Electronic address: nima.navimipour@khas.edu.tr.<br /><searchLink fieldCode="AU" term="%22Rezaei+M%22">Rezaei M</searchLink>; Tabriz University of Medical Sciences, Faculty of Surgery, Tabriz, Iran.<br /><searchLink fieldCode="AU" term="%22Unal+M%22">Unal M</searchLink>; Department of Computer Engineering, Nisantasi University, Istanbul, Turkiye.
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  Data: <searchLink fieldCode="JN" term="%228915031%22">Artificial intelligence in medicine</searchLink> [Artif Intell Med] 2023 Jul; Vol. 141, pp. 102572. <i>Date of Electronic Publication: </i>2023 May 04.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Publishing%22">Elsevier Science Publishing </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8915031 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-2860 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209333657%22">09333657 </searchLink><i>NLM ISO Abbreviation: </i>Artif Intell Med <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.artmed.2023.102572
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              Text: 2023 Jul
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