Classification of scanning electron microscope images of pharmaceutical excipients using deep convolutional neural networks with transfer learning

Convolutional Neural Networks (CNNs) are image analysis techniques that have been applied to image classification in various fields. In this study, we applied a CNN to classify scanning electron microscopy (SEM) images of pharmaceutical raw material powders to determine if a CNN can evaluate particl...

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Detalles Bibliográficos
Autores principales: Iwata, Hiroaki, Hayashi, Yoshihiro, Hasegawa, Aki, Terayama, Kei, Okuno, Yasushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619299/
https://www.ncbi.nlm.nih.gov/pubmed/36325273
http://dx.doi.org/10.1016/j.ijpx.2022.100135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619299/
https://www.ncbi.nlm.nih.gov/pubmed/36325273
http://dx.doi.org/10.1016/j.ijpx.2022.100135

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