Hosted by NIH.AI, this highly interactive workshop will offer opportunities to exchange expertise and collaborate with NIH researchers at all career levels who are utilizing image segmentation technologies in their work. This three-hour workshop will include targeted presentations and will offer plenty of time for open discussion among peers and across disciplines.
The workshop will be held at NIH Building 45, Room F1/F2, on Thursday, February 14, 2019, from 1-4 PM.
1 - 1:15 pm Intro + Goals Discussion
1:15 – 1:50 Topic I: Integrating Computer Vision into Microscopy Analytics Workflows – Matthew Guay, NIBIB
Computational microscopy platform survey: https://goo.gl/forms/5Fi8bZfBUb5hDOK13
1:50 - 2:25 Topic II: Generative Adversarial Networks: Applications in Image Segmentation – Yanling Liu, FNLCR
Github repo with source code and notebook: here
Videos in presentation: here and here
2:25 - 2:40 Break
2:40 - 3:15 Topic III: Deep Learning in Radiology: Applications in Lesion and Organ Segmentation – Yuxing Tang, Youbao Tang, NIH Clinical Center
Useful links from Summers' lab
3:15 - 3:40 Guided Discussion
3:40 - 4:00 Tech Demo/"Getting started" Overview