Leveraging code-free deep learning for pill recognition in clinical settings: A multicenter, real-world study of performance across multiple platforms.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/artmed/AshrafSMGF24
%A Ashraf, Amir Reza
%A Somogyi-Végh, Anna
%A Merczel, Sára
%A Gyimesi, Nóra
%A Fittler, András
%D 2024
%J Artif. Intell. Medicine
%K dblp
%P 102844
%T Leveraging code-free deep learning for pill recognition in clinical settings: A multicenter, real-world study of performance across multiple platforms.
%U http://dblp.uni-trier.de/db/journals/artmed/artmed150.html#AshrafSMGF24
%V 150
@article{journals/artmed/AshrafSMGF24,
added-at = {2024-06-08T00:00:00.000+0200},
author = {Ashraf, Amir Reza and Somogyi-Végh, Anna and Merczel, Sára and Gyimesi, Nóra and Fittler, András},
biburl = {https://www.bibsonomy.org/bibtex/230a354ac1653e8120943ea56c39445e3/dblp},
ee = {https://doi.org/10.1016/j.artmed.2024.102844},
interhash = {ebdbfcdc2d8ffae6f0976da5f577a57f},
intrahash = {30a354ac1653e8120943ea56c39445e3},
journal = {Artif. Intell. Medicine},
keywords = {dblp},
pages = 102844,
timestamp = {2024-06-17T07:08:31.000+0200},
title = {Leveraging code-free deep learning for pill recognition in clinical settings: A multicenter, real-world study of performance across multiple platforms.},
url = {http://dblp.uni-trier.de/db/journals/artmed/artmed150.html#AshrafSMGF24},
volume = 150,
year = 2024
}
