Cell2Grid: an efficient, spatial, and convolutional neural network-ready representation of cell segmentation data

PURPOSE: Cell segmentation algorithms are commonly used to analyze large histologic images as they facilitate interpretation, but on the other hand they complicate hypothesis-free spatial analysis. Therefore, many applications train convolutional neural networks (CNNs) on high-resolution images that...

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Detalles Bibliográficos
Autores principales: Herbsthofer, Laurin, Tomberger, Martina, Smolle, Maria A., Prietl, Barbara, Pieber, Thomas R., López-García, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Digital Pathology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709305/
https://www.ncbi.nlm.nih.gov/pubmed/36466076
http://dx.doi.org/10.1117/1.JMI.9.6.067501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709305/
https://www.ncbi.nlm.nih.gov/pubmed/36466076
http://dx.doi.org/10.1117/1.JMI.9.6.067501

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