A Multimodal Multipath Artificial Intelligence System for Diagnosing Gastric Protruded Lesions on Endoscopy and Endoscopic Ultrasonography Images

INTRODUCTION: The aim of this study was to develop a novel artificial intelligence (AI) system that can automatically detect and classify protruded gastric lesions and help address the challenges of diagnostic accuracy and inter-reader variability encountered in routine diagnostic workflow. METHODS:...

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Detalles Bibliográficos
Autores principales: Zhu, Chang, Hua, Yifei, Zhang, Min, Wang, Yun, Li, Wenjie, Ding, Yanbing, She, Qiang, Zhang, Weifeng, Si, Xinmin, Kong, Zihao, Liu, Baiyun, Chen, Weidao, Wu, Jiangfen, Dang, Yini, Zhang, Guoxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584296/
https://www.ncbi.nlm.nih.gov/pubmed/36434804
http://dx.doi.org/10.14309/ctg.0000000000000551

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584296/
https://www.ncbi.nlm.nih.gov/pubmed/36434804
http://dx.doi.org/10.14309/ctg.0000000000000551

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