Temporal and Locational Values of Images Affecting the Deep Learning of Cancer Stem Cell Morphology

Deep learning is being increasingly applied for obtaining digital microscopy image data of cells. Well-defined annotated cell images have contributed to the development of the technology. Cell morphology is an inherent characteristic of each cell type. Moreover, the morphology of a cell changes duri...

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Detalles Bibliográficos
Autores principales: Hanai, Yumi, Ishihata, Hiroaki, Zhang, Zaijun, Maruyama, Ryuto, Kasai, Tomonari, Kameda, Hiroyuki, Sugiyama, Tomoyasu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138469/
https://www.ncbi.nlm.nih.gov/pubmed/35625678
http://dx.doi.org/10.3390/biomedicines10050941

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138469/
https://www.ncbi.nlm.nih.gov/pubmed/35625678
http://dx.doi.org/10.3390/biomedicines10050941

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