An artificial intelligent diagnostic system on mobile Android terminals for cholelithiasis by lightweight convolutional neural network

Artificial intelligence (AI) tools have been applied to diagnose or predict disease risk from medical images with recent data disclosure actions, but few of them are designed for mobile terminals due to the limited computational power and storage capacity of mobile devices. In this work, a novel AI...

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Detalles Bibliográficos
Autores principales: Pang, Shanchen, Wang, Shuo, Rodríguez-Patón, Alfonso, Li, Pibao, Wang, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742400/
https://www.ncbi.nlm.nih.gov/pubmed/31513631
http://dx.doi.org/10.1371/journal.pone.0221720

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742400/
https://www.ncbi.nlm.nih.gov/pubmed/31513631
http://dx.doi.org/10.1371/journal.pone.0221720

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