ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

Machine learning algorithms hold the promise to effectively automate the analysis of histopathological images that are routinely generated in clinical practice. Any machine learning method used in the clinical diagnostic process has to be extremely accurate and, ideally, provide a measure of uncerta...

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Detalles Bibliográficos
Autores principales: Rączkowska, Alicja, Możejko, Marcin, Zambonelli, Joanna, Szczurek, Ewa
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/PMC6778075/
https://www.ncbi.nlm.nih.gov/pubmed/31586139
http://dx.doi.org/10.1038/s41598-019-50587-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778075/
https://www.ncbi.nlm.nih.gov/pubmed/31586139
http://dx.doi.org/10.1038/s41598-019-50587-1

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