Development and Validation of an Automatic Image-Recognition Endoscopic Report Generation System: A Multicenter Study

INTRODUCTION: Conventional gastrointestinal (GI) endoscopy reports written by physicians are time consuming and might have obvious heterogeneity or omissions, impairing the efficiency and multicenter consultation potential. We aimed to develop and validate an image recognition–based structured repor...

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Detalles Bibliográficos
Autores principales: Qu, Jun-yan, Li, Zhen, Su, Jing-ran, Ma, Ming-jun, Xu, Chang-qin, Zhang, Ai-jun, Liu, Cheng-xia, Yuan, Hai-peng, Chu, Yan-liu, Lang, Cui-cui, Huang, Liu-ye, Lu, Lin, Li, Yan-qing, Zuo, Xiu-li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771723/
https://www.ncbi.nlm.nih.gov/pubmed/33395075
http://dx.doi.org/10.14309/ctg.0000000000000282

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771723/
https://www.ncbi.nlm.nih.gov/pubmed/33395075
http://dx.doi.org/10.14309/ctg.0000000000000282

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