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  • Discoverability Visible
  • Join Policy Open/Anyone
  • Created 08 Sep 2021

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

Created by Clint Malone Last Modified Tue October 26, 2021 10:08 pm by Clint Malone