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

Machine Learning (1449) Imaging Informatics (192) Artificial Intelligence (1351) New Methods (941) mHealth for Treatment Adherence (397)

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 .
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

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 (4) Tweetations (2) Metrics

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