The plan is to design a feature study to compare two different displays for use in digital pathology. The study is in the spirit of the mitotic counting study described in Brandon's 2016 Pathology Informatics Summit presentation. The NHS team will consider the task to be performed. Here's some characteristics for the task.
It should be based on a single FOV.
It should be objective detection, classification, enumeration, quantification
It should be based on tissue sections that can be sourced according to reproducible inclusion and exclusion criteria.
It should challenge the imaging modality in terms of resolution, depth of field, or color (others?).
Other characteristics?
Draft Timeline
Q4 2016, Set up an eeDAP system at NHS.
Q1 2017, Create study protocol.
Q2 2017, Prepare slides, images, and eeDAP input files.
The README on the front page contains links to the manual and software releases, as well as related references and resources. The front page also contains the top-level directory of the source code repository. Check it out.
Team from UK National Health System (NHS)
Team from US Food and Drug Administration (FDA)
What's the plan?
The plan is to design a feature study to compare two different displays for use in digital pathology. The study is in the spirit of the mitotic counting study described in Brandon's 2016 Pathology Informatics Summit presentation. The NHS team will consider the task to be performed. Here's some characteristics for the task.
Draft Timeline
Getting started
Please refer to the front page of the eeDAP GitHub project: https://github.com/DIDSR/eeDAP
The README on the front page contains links to the manual and software releases, as well as related references and resources. The front page also contains the top-level directory of the source code repository. Check it out.