HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks

The growth of digital pathology over the past decade has opened new research pathways and insights in cancer prediction and prognosis. In particular, there has been a surge in deep learning and computer vision techniques to analyse digital images. Common practice in this area is to use image pre-pro...

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Detalles Bibliográficos
Autores principales: McCombe, Kris D., Craig, Stephanie G., Viratham Pulsawatdi, Amélie, Quezada-Marín, Javier I., Hagan, Matthew, Rajendran, Simon, Humphries, Matthew P., Bingham, Victoria, Salto-Tellez, Manuel, Gault, Richard, James, Jacqueline A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426467/
https://www.ncbi.nlm.nih.gov/pubmed/34522291
http://dx.doi.org/10.1016/j.csbj.2021.08.033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426467/
https://www.ncbi.nlm.nih.gov/pubmed/34522291
http://dx.doi.org/10.1016/j.csbj.2021.08.033

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