High Throughput Truthing (HTT) Project (httprojectpage)
Project by group httleadership
About
The goal of the High-Throughput Truthing (HTT) project is to produce a validation dataset established by pathologist annotations for artificial intelligence algorithms analyzing digital scans of pathology slides: data (images + annotations).
Team
- Amy Ly
- Anant Madabhushi
- Andrew Janowczyk
- Anna Ehinger
- Aparna Vinodh
- Ashish Sharma
- Brandon D. Gallas
- Bruce Bruce Werness
- Chava Zibman
- Dandan Xu
- Darick Tong
- David Zapol
- Dennis Murphree
- Dieter Peeters
- Eric Suba
- Esther Abels
- Evan Szu
- evangelos hytopoulos
- Gabe Siegel
- Giovanni Lujan
- Heathclif Szu
- Hetal Desai Marble
- Hongfei Du
- James K Setty
- Jeroen van der Laak
- Jithesh Veetil
- Joe K Lennerz
- Joel Haskin Saltz
- John Paul Phillips
- Katherine N Elfer
- Kim Blenman
- Kyle J. Myers
- Lee Cooper
- Majda Haznadar
- Manasi Sheth
- Marjan Nabili
- Markus Daniel Herrmann
- Matthew Hanna
- Mohamed Amgad
- Nan Li
- Phoebe Qian
- Qi Gong
- Rajarsi Gupta
- rajendra singh
- Richard Huang
- Roberto Salgado
- Sarah Dudgeon
- Si Wen
- Stephanie Jou
- Steven N Hart
- Ula Green
- Vangelis Evangelou
- Victor Garcia
- Vinona Bhatia
- Weijie Chen
- Xiaoxian Li
- Zaibo Li