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GeneSegNet: a deep learning framework for cell segmentation by integrating gene expression and imaging
When analyzing data from in situ RNA detection technologies, cell segmentation is an essential step in identifying cell boundaries, assigning RNA reads to cells, and studying the gene expression and morphological features of cells. We developed a deep-learning-based method, GeneSegNet, that integrat...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585768/ https://www.ncbi.nlm.nih.gov/pubmed/37858204 http://dx.doi.org/10.1186/s13059-023-03054-0 |