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.

Cha, KyeongMin; Woo, Hyun-Ki; Park, Dohyun; Chang, Dong Kyung; Kang, Mira

Cha, KyeongMin; Woo, Hyun-Ki; Park, Dohyun; Chang, Dong Kyung; Kang, Mira.

Afiliação

Cha K; Department of Digital Health, Samsung Advanced Institute of Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.
Woo HK; Department of Digital Health, Samsung Advanced Institute of Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.
Park D; EvidNet Inc, Seongnam-si, Gyeonggi-do, Republic of Korea.
Chang DK; Department of Digital Health, Samsung Advanced Institute of Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.
Kang M; Department of Digital Health, Samsung Advanced Institute of Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.

JMIR Med Inform ; 9(7): e26000, 2021 Jul 28.

Article em En | MEDLINE | ID: mdl-34319239

Palavras-chave

color difference; color space; deep neural network; image processing; imaging; mobile phone; neural network; pharmaceutical; photography; pill recognition

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article