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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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
Elsevier,
2020-12-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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