Deep convolutional neural networks: Outperforming established algorithms in the evaluation of industrial optical coherence tomography (OCT) images of pharmaceutical coatings

This paper presents a novel evaluation approach for optical coherence tomography (OCT) image analysis of pharmaceutical solid dosage forms based on deep convolutional neural networks (CNNs). As a proof of concept, CNNs were applied to image data from both, in- and at-line OCT implementations, monito...

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Detalles Bibliográficos
Autores principales: Wolfgang, Matthias, Weißensteiner, Michael, Clarke, Phillip, Hsiao, Wen-Kai, Khinast, Johannes G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689324/
https://www.ncbi.nlm.nih.gov/pubmed/33294841
http://dx.doi.org/10.1016/j.ijpx.2020.100058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689324/
https://www.ncbi.nlm.nih.gov/pubmed/33294841
http://dx.doi.org/10.1016/j.ijpx.2020.100058

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