February 14, 2019

 

Meeting Description:

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.

 

Workshop Recording: CLICK to view

 

Meeting goals:

  • Educate the NIH community on available image segmentation resources and repositories 
  • Foster collaboration between meeting attendees

 

Agenda:

1 - 1:15 pm         Intro + Goals Discussion

1:15 – 1:50         Topic I: Integrating Computer Vision into Microscopy Analytics Workflows – Matthew Guay, NIBIB
                            Presentation: here
                            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
                            Presentation: here
                            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
                            Presentation: here

                            Useful links from Summers' lab

                            GitHub: https://github.com/rsummers11/CADLab

                            PHNN for lung segmentation in CT scansPancreas CT datasetLymph Node CT datasetChestX-ray14 datasetDeepLesion datasetPytorch segmentation toolbox

                            Papers: https://scholar.google.com/citations?user=udx2IT0AAAAJhttps://scholar.google.com/citations?user=QtYC2MIAAAAJ

3:15 - 3:40          Guided Discussion

3:40 - 4:00          Tech Demo/"Getting started" Overview

 

Questions?

Please contact either George Zaki (george.zaki@nih.gov) or Matthew Guay (matthew.guay@nih.gov).

 

Hosted by NIH.AI

 

Created by Miles Kimbrough Last Modified Mon July 22, 2019 1:28 pm by Miles Kimbrough