The presentation and video recording are now available.

Overview: Nucleus segmentation from fluorescence microscopy images of cells stained with a DNA dye or other nuclear marker is a critical first step in many automated image processing pipelines. In this one-hour presentation, Dr. George Zaki (FNL/CBIIT) offers a practical approach for evaluating deep learning methods for nucleus segmentation – using state of the art neural networks.

Date:               Tuesday, March 3, 2020
Time:               1:00-2:00 p.m.
Location:         NCI Shady Grove, 3E032-034

Instructor: George Zaki, PhD, bioinformatics manager at the Frederick National Laboratory for Cancer Research (FNLCR) and adjunct professor at the University of Maryland.

Questions? Contact the NCI Data Science Learning Exchange