Automation of the kidney function prediction and classification through ultrasound-based kidney imaging using deep learning

Prediction of kidney function and chronic kidney disease (CKD) through kidney ultrasound imaging has long been considered desirable in clinical practice because of its safety, convenience, and affordability. However, this highly desirable approach is beyond the capability of human vision. We develop...

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Detalles Bibliográficos
Autores principales: Kuo, Chin-Chi, Chang, Chun-Min, Liu, Kuan-Ting, Lin, Wei-Kai, Chiang, Hsiu-Yin, Chung, Chih-Wei, Ho, Meng-Ru, Sun, Pei-Ran, Yang, Rong-Lin, Chen, Kuan-Ta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550224/
https://www.ncbi.nlm.nih.gov/pubmed/31304376
http://dx.doi.org/10.1038/s41746-019-0104-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550224/
https://www.ncbi.nlm.nih.gov/pubmed/31304376
http://dx.doi.org/10.1038/s41746-019-0104-2

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