NuSeT: A deep learning tool for reliably separating and analyzing crowded cells

Title
NuSeT: A deep learning tool for reliably separating and analyzing crowded cells
Authors
Keywords
Fluorescence imaging, Mitosis, Morphogenic segmentation, Algorithms, Image processing, Imaging techniques, Histopathology, Deep learning
Journal
PLoS Computational Biology
Volume 16, Issue 9, Pages e1008193
Publisher
Public Library of Science (PLoS)
Online
2020-09-15
DOI
10.1371/journal.pcbi.1008193

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started