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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yuxing, Wang, Wenguan, Liu, Dongfang, Hou, Wenpin, Zhou, Tianfei, Ji, Zhicheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Method
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

Internet

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

Ejemplares similares