Cargando…
CIEGAN: A Deep Learning Tool for Cell Image Enhancement
Long-term live-cell imaging technology has emerged in the study of cell culture and development, and it is expected to elucidate the differentiation or reprogramming morphology of cells and the dynamic process of interaction between cells. There are some advantages to this technique: it is noninvasi...
Autores principales: | Sun, Qiushi, Yang, Xiaochun, Guo, Jingtao, Zhao, Yang, Liu, Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298179/ https://www.ncbi.nlm.nih.gov/pubmed/35873483 http://dx.doi.org/10.3389/fgene.2022.913372 |
Ejemplares similares
-
A Pretraining-Retraining Strategy of Deep Learning Improves Cell-Specific Enhancer Predictions
por: Niu, Xiaohui, et al.
Publicado: (2020) -
Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry
por: Xiao, Xu, et al.
Publicado: (2021) -
NanoReviser: An Error-Correction Tool for Nanopore Sequencing Based on a Deep Learning Algorithm
por: Wang, Luotong, et al.
Publicado: (2020) -
Deep Learning Based Analysis of Histopathological Images of Breast Cancer
por: Xie, Juanying, et al.
Publicado: (2019) -
Intelligent Health Care: Applications of Deep Learning in Computational Medicine
por: Yang, Sijie, et al.
Publicado: (2021)