Automatic cell counting from stimulated Raman imaging using deep learning

In this paper, we propose an automatic cell counting framework for stimulated Raman scattering (SRS) images, which can assist tumor tissue characteristic analysis, cancer diagnosis, and surgery planning processes. SRS microscopy has promoted tumor diagnosis and surgery by mapping lipids and proteins...

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Detalles Bibliográficos
Autores principales: Zhang, Qianqian, Yun, Kyung Keun, Wang, Hao, Yoon, Sang Won, Lu, Fake, Won, Daehan
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/PMC8294532/
https://www.ncbi.nlm.nih.gov/pubmed/34288972
http://dx.doi.org/10.1371/journal.pone.0254586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294532/
https://www.ncbi.nlm.nih.gov/pubmed/34288972
http://dx.doi.org/10.1371/journal.pone.0254586

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