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

Artificial Intelligence (1407) Machine Learning (1488) Clinical Information and Decision Making (1423) Clinical Informatics (1042) Natural Language Processing (703)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41043, first published .
An Accurate Deep Learning–Based System for Automatic Pill Identification: Model Development and Validation

An Accurate Deep Learning–Based System for Automatic Pill Identification: Model Development and Validation

An Accurate Deep Learning–Based System for Automatic Pill Identification: Model Development and Validation

Authors of this article:

Junyeong Heo1, 2 Author Orcid Image ;   Youjin Kang3 Author Orcid Image ;   SangKeun Lee3, 4 Author Orcid Image ;   Dong-Hwa Jeong5, 6 Author Orcid Image ;   Kang-Min Kim5, 6 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Junyeong Heo   1, 2 * , BMath ;   Youjin Kang   3 * , PhD ;   SangKeun Lee   3, 4 , PhD ;   Dong-Hwa Jeong   5, 6 * , PhD ;   Kang-Min Kim   5, 6 * , PhD

1 Department of Mathematics, Korea University, Seoul, Republic of Korea

2 Visual Display Division, Samsung Electronics, Suwon, Republic of Korea

3 Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea

4 Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea

5 Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea

6 Department of Data Science, The Catholic University of Korea, Bucheon, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Dong-Hwa Jeong, PhD
  • Department of Artificial Intelligence
  • The Catholic University of Korea
  • T908 Michael Building
  • The Catholic University of Korea, 43 Jibong-ro
  • Bucheon, 14662
  • Republic of Korea
  • Phone: 82 10 6707 6977
  • Email: donghwa@catholic.ac.kr