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

Machine Learning (3350) New Methods (1874) mHealth for Treatment Adherence (635) Imaging Informatics (511) Artificial Intelligence (5044)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26000, first published .
Hand holding various pills and capsules poured from a prescription bottle.

Effects of Background Colors, Flashes, and Exposure Values on the Accuracy of a Smartphone-Based Pill Recognition System Using a Deep Convolutional Neural Network: Deep Learning and Experimental Approach

Effects of Background Colors, Flashes, and Exposure Values on the Accuracy of a Smartphone-Based Pill Recognition System Using a Deep Convolutional Neural Network: Deep Learning and Experimental Approach

Authors of this article:

KyeongMin Cha1 Author Orcid Image ;   Hyun-Ki Woo1, 2 Author Orcid Image ;   Dohyun Park1 Author Orcid Image ;   Dong Kyung Chang1, 3 Author Orcid Image ;   Mira Kang1, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

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  8. Sai Sachin A, Karthikeyan J. Artificial intelligence for medication recognition and safety: a systematic review of detection, classification, OCR, and digital health applications. Frontiers in Digital Health 2026;8 View

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  2. Naincy , Kaur M. 2026 International Conference on Intelligent Systems in Engineering, Secured Systems and Cybersecurity (ICISESSC). Perceptually Accurate Color Correction Using Deep Neural Networks for Digital Photography View