At the Hackathon prior to INCF NI 2018 conference
- Each participant described the challenges they faced (from various perspectives), as well the results from their own analyses
o Topics touched on were neonatal data, crowdsourcing, lack of consistency, lack of public “rated”/labelled datasets (“ground truth” to develop algorithms)
- Everyone agreed on the need for standards, easier to use tools and more educational materials
- A consensus was reached on running a survey to learn “who is doing what”
- Action items:
⁃ Pradeep to draft the survey to gather in-house protocols, their justification, any existing tools/libraries
o Share it with the group to finalize the questions, breadth/depth of the survey, as answers depend on the way questions are asked
o Get it circulated widely
o Setup website and repos etc
o Another possible survey: for the purpose of algorithm development as well as education materials, crowdsourcing examples of bad scans (or those with various interesting/extreme artefacts) would be great
- No concrete dates yet – they will be announced via the google group.
- Suggestions [from Ben Inglis] for an open Google Hangouts/Skype at some regular interval (every 6-8 weeks?), esp. in the first year.
Stephen Strother, David Kennedy, Pierre Bellec, Sebastian Urchs, Elizabeth Dupre, Taylor Salo, Katie Battenhorn, Erin Dickie, Yang Ding, Steve Hodges, Julie Bates, Dawn Smith, Greg Kiar, Basile Pinsard, Pradeep Reddy Raamana
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Hey,
Something I thought about the other day but forgot to ask.
Are talking about quality control of raw data or does it cover also things to look for during pre-processing? Just to be clear.
@+
Remi
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