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

Artificial Intelligence (1602) Machine Learning (1627) Clinical Information and Decision Making (1548) Clinical Informatics (1107) Natural Language Processing (764)

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 (6) Tweetations (5) Metrics

Journals

  1. Chiang C, Yang Y, Liu W, Lin Y. Improving Automatic Identification of Medications in Transparent Packaging by Glare Removal and Color Correction. IEEE Access 2023;11:118812 View
  2. Chiu Y. Automated medication verification system (AMVS): System based on edge detection and CNN classification drug on embedded systems. Heliyon 2024;10(9):e30486 View
  3. Rádli R, Vörösházi Z, Czúni L. Metric‐based pill recognition with the help of textual and visual cues. IET Image Processing 2024;18(14):4623 View
  4. Bai E, Zhang Z, Xu Y, Luo X, Adelgais K. Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems. BMC Medical Informatics and Decision Making 2025;25(1) View