TNTdetect.AI: A Deep Learning Model for Automated Detection and Counting of Tunneling Nanotubes in Microscopy Images

SIMPLE SUMMARY: Microscopy is central to many areas of biomedical science research, including cancer research, and is critical for understanding basic pathophysiology, mechanisms of action, and treatment response. However, analysis of the numerous images generated from microscopy readouts is usually...

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Detalles Bibliográficos
Autores principales: Ceran, Yasin, Ergüder, Hamza, Ladner, Katherine, Korenfeld, Sophie, Deniz, Karina, Padmanabhan, Sanyukta, Wong, Phillip, Baday, Murat, Pengo, Thomas, Lou, Emil, Patel, Chirag B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562025/
https://www.ncbi.nlm.nih.gov/pubmed/36230881
http://dx.doi.org/10.3390/cancers14194958

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562025/
https://www.ncbi.nlm.nih.gov/pubmed/36230881
http://dx.doi.org/10.3390/cancers14194958

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