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
Publicado en:Cancers Vol. 14; no. 19; pp. 4958 - 4976
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: diagnostic images pictorial research tables/charts Journal Article
Publicado: MDPI Oct2022
Acceso en línea:Ver este registro en EBSCOhost