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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |