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This paper is in the following e-collection/theme issue:

Machine Learning (2252) Clinical Informatics (1454) Decision Support for Health Professionals (1651) Safety and Error Prevention in Health (263) Implantable Drug Delivery Systems, Ingestible Sensors and Digital Pills (17) ePrescribing and Innovations in Pharmacies (91) Artificial Intelligence (2377)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79160, first published .
Code-Based Versus AutoML Methods for Pill Recognition in Clinical Settings: Comparative Performance Study

Code-Based Versus AutoML Methods for Pill Recognition in Clinical Settings: Comparative Performance Study

Code-Based Versus AutoML Methods for Pill Recognition in Clinical Settings: Comparative Performance Study

Authors of this article:

Amir Reza Ashraf1 Author Orcid Image ;   Richárd Rádli2 Author Orcid Image ;   Zsolt Vörösházi2 Author Orcid Image ;   András Fittler1 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Amir Reza Ashraf   1 , PharmD, PhD ;   Richárd Rádli   2 , MSc ;   Zsolt Vörösházi   2 , PhD ;   András Fittler   1 , PharmD, PhD

1 Department of Pharmaceutics, Faculty of Pharmacy, University of Pécs, Pécs, Hungary

2 Image Processing Research Laboratory, University of Pannonia, Veszprém, Hungary

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