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...

Full description

Saved in:
Bibliographic Details
Main Authors: Matthias Wolfgang (Author), Michael Weißensteiner (Author), Phillip Clarke (Author), Wen-Kai Hsiao (Author), Johannes G. Khinast (Author)
Format: Book
Published: Elsevier, 2020-12-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Connect to this object online.

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available