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Convolutional neural network-based evaluation of chemical maps obtained by fast Raman imaging for prediction of tablet dissolution profiles.
Galata, Dorián László; Zsiros, Boldizsár; Knyihár, Gábor; Péterfi, Orsolya; Mészáros, Lilla Alexandra; Ronkay, Ferenc; Nagy, Brigitta; Szabó, Edina; Nagy, Zsombor Kristóf; Farkas, Attila.
Afiliação
  • Galata DL; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Zsiros B; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Knyihár G; Department of Automation and Applied Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1117, Budapest Magyar Tudósok körútja 2 QB-207, Hungary.
  • Péterfi O; Department of Drugs Industry and Pharmaceutical Management, University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, Gheorghe Marinescu 38, 540139 Târgu Mureș, Romania.
  • Mészáros LA; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Ronkay F; Department of Innovative Vehicles and Materials, GAMF Faculty of Engineering and Computer Science, John von Neumann University, 6000 Kecskemét, Hungary.
  • Nagy B; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Szabó E; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Nagy ZK; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary. Electronic address: zsknagy@oct.bme.hu.
  • Farkas A; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
Int J Pharm ; 640: 123001, 2023 Jun 10.
Article em En | MEDLINE | ID: mdl-37254287
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article