Cargando…
DUNEScan: a web server for uncertainty estimation in skin cancer detection with deep neural networks
Recent years have seen a steep rise in the number of skin cancer detection applications. While modern advances in deep learning made possible reaching new heights in terms of classification accuracy, no publicly available skin cancer detection software provide confidence estimates for these predicti...
Autores principales: | Mazoure, Bogdan, Mazoure, Alexander, Bédard, Jocelyn, Makarenkov, Vladimir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741961/ https://www.ncbi.nlm.nih.gov/pubmed/34996997 http://dx.doi.org/10.1038/s41598-021-03889-2 |
Ejemplares similares
-
Identification and correction of spatial bias are essential for obtaining quality data in high-throughput screening technologies
por: Mazoure, Bogdan, et al.
Publicado: (2017) -
Horizontal gene transfer and recombination analysis of SARS-CoV-2 genes helps discover its close relatives and shed light on its origin
por: Makarenkov, Vladimir, et al.
Publicado: (2021) -
Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms
por: Chabane, Nail, et al.
Publicado: (2022) -
T-REX: a web server for inferring, validating and visualizing phylogenetic trees and networks
por: Boc, Alix, et al.
Publicado: (2012) -
Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference
por: Steinbrener, Jan, et al.
Publicado: (2020)