Evaluation of Kidney Histological Images Using Unsupervised Deep Learning

INTRODUCTION: Evaluating histopathology via machine learning has gained research and clinical interest, and the performance of supervised learning tasks has been described in various areas of medicine. Unsupervised learning of histological images has the advantage of reproducibility for labeling; ho...

Descripción completa

Detalles Bibliográficos
Autores principales: Sato, Noriaki, Uchino, Eiichiro, Kojima, Ryosuke, Sakuragi, Minoru, Hiragi, Shusuke, Minamiguchi, Sachiko, Haga, Hironori, Yokoi, Hideki, Yanagita, Motoko, Okuno, Yasushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Translational Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418980/
https://www.ncbi.nlm.nih.gov/pubmed/34514205
http://dx.doi.org/10.1016/j.ekir.2021.06.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418980/
https://www.ncbi.nlm.nih.gov/pubmed/34514205
http://dx.doi.org/10.1016/j.ekir.2021.06.008

Ejemplares similares