Detection and classification of neurons and glial cells in the MADM mouse brain using RetinaNet

The ability to automatically detect and classify populations of cells in tissue sections is paramount in a wide variety of applications ranging from developmental biology to pathology. Although deep learning algorithms are widely applied to microscopy data, they typically focus on segmentation which...

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Detalles Bibliográficos
Autores principales: Cai, Yuheng, Zhang, Xuying, Kovalsky, Shahar Z., Ghashghaei, H. Troy, Greenbaum, Alon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462685/
https://www.ncbi.nlm.nih.gov/pubmed/34559842
http://dx.doi.org/10.1371/journal.pone.0257426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462685/
https://www.ncbi.nlm.nih.gov/pubmed/34559842
http://dx.doi.org/10.1371/journal.pone.0257426

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