Nuclei segmentation in histology images is an import step for identifying cells and doing analysis for problems such as disease identification and/or progression. In this effort, we focus on the lack ...

The use of Artificial Intelligence (AI) for analysis of cellular images is very promising, especially for image segmentation tasks that were previously challenging or unfeasible, such as the ...

Caicedo et al. have determined an evaluation framework to assess the improvements in fluorescent images of nucleus segmentation achieved by machine learning versus classical approaches. The team ...

The scanR high-content screening (HCS) station provides fully automated image acquisition and data analysis. Version 3.3 improves the deep-learning technology’s capabilities to reliably separate ...