Cargando…
Deep Vision: Learning to Identify Renal Disease With Neural Networks
Autores principales: | Pavinkurve, Nishanth P., Natarajan, Karthik, Perotte, Adler J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612041/ https://www.ncbi.nlm.nih.gov/pubmed/31317112 http://dx.doi.org/10.1016/j.ekir.2019.04.023 |
Ejemplares similares
-
Going Deep: The Role of Neural Networks for Renal Survival and Beyond
por: Averitt, Amelia J., et al.
Publicado: (2018) -
Diagnosis code assignment: models and evaluation metrics
por: Perotte, Adler, et al.
Publicado: (2014) -
Decreasing Avoidable Vision Loss: Identifying Antecedents of Adherence
por: Morse, Alan R, et al.
Publicado: (2020) -
Hands-on Java deep learning for computer vision: implement machine learning and neural network methodologies to perform computer vision-related tasks
por: Ramo, Klevis
Publicado: (2019) -
Deep learning in deep time
por: White, Alexander E.
Publicado: (2020)