Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy Images.
Slo-Li ChuHideo YokotaHao-Lun HsiehKuniya AbeDooseon ChoMing-Dar TsaiPublished in: EMBC (2023)
Keyphrases
- quantitative analysis
- fluorescence microscopy images
- cell nuclei
- deep learning
- microscope images
- cell segmentation
- three dimensional
- visual inspection
- automated detection
- automated analysis
- qualitative and quantitative analysis
- machine learning
- unsupervised learning
- mental models
- weakly supervised
- d objects
- cancer cells
- living cells
- data sets
- object detection
- bounding box
- supervised learning
- microscopy images
- pairwise