📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Virtually Possible: Enhancing Quality Control of 3D-Printed Medicines with Machine Vision Trained on Photorealistic Images. (2023)

First Author: Sun S

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3390/pharmaceutics15112630

PubMed Identifier: 38004607

Publication URI: http://europepmc.org/abstract/MED/38004607

Type: Journal Article/Review

Volume: 15

Parent Publication: Pharmaceutics

Issue: 11

ISSN: 1999-4923