Development and Validation of a Deep Learning Model to Quantify Interstitial Fibrosis and Tubular Atrophy From Kidney Ultrasonography Images

IMPORTANCE: Interstitial fibrosis and tubular atrophy (IFTA) is a strong indicator of decline in kidney function and is measured using histopathological assessment of kidney biopsy core. At present, a noninvasive test to assess IFTA is not available. OBJECTIVE: To develop and validate a deep learnin...

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Detalles Bibliográficos
Autores principales: Athavale, Ambarish M., Hart, Peter D., Itteera, Mathew, Cimbaluk, David, Patel, Tushar, Alabkaa, Anas, Arruda, Jose, Singh, Ashok, Rosenberg, Avi, Kulkarni, Hemant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144924/
https://www.ncbi.nlm.nih.gov/pubmed/34028548
http://dx.doi.org/10.1001/jamanetworkopen.2021.11176

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144924/
https://www.ncbi.nlm.nih.gov/pubmed/34028548
http://dx.doi.org/10.1001/jamanetworkopen.2021.11176

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