Assessing the Impact of Color Normalization in Convolutional Neural Network-Based Nuclei Segmentation Frameworks

Image analysis tools for cancer, such as automatic nuclei segmentation, are impacted by the inherent variation contained in pathology image data. Convolutional neural networks (CNN), demonstrate success in generalizing to variable data, illustrating great potential as a solution to the problem of da...

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Detalles Bibliográficos
Autores principales: Pontalba, Justin Tyler, Gwynne-Timothy, Thomas, David, Ephraim, Jakate, Kiran, Androutsos, Dimitrios, Khademi, April
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838039/
https://www.ncbi.nlm.nih.gov/pubmed/31737619
http://dx.doi.org/10.3389/fbioe.2019.00300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838039/
https://www.ncbi.nlm.nih.gov/pubmed/31737619
http://dx.doi.org/10.3389/fbioe.2019.00300

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