With the rapid development of self-supervised learning (e.g., contrastiv...
The quantitative detection, segmentation, and characterization of glomer...
Unsupervised learning algorithms (e.g., self-supervised learning,
auto-e...
Recent advances in bioimaging have provided scientists a superior high
s...
Contrastive learning is a key technique of modern self-supervised learni...
Annotated medical images are typically rarer than labeled natural images...
Reducing outcome variance is an essential task in deep learning based me...
Quantitative analysis of microscope videos often requires instance
segme...
Instance object segmentation and tracking provide comprehensive
quantifi...
Weakly supervised learning has been rapidly advanced in biomedical image...
Recently, single-stage embedding based deep learning algorithms gain
inc...
Automatic instance segmentation of glomeruli within kidney Whole Slide
I...
There has been a long pursuit for precise and reproducible glomerular
qu...