NIH | National Cancer Institute | NCI Wiki  

Error rendering macro 'rw-search'

null

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

TimeItemWhoNotes

Notes 


Action items






Unknown User (bearceba)  - investigate options on how to keep challenges open, add phase or copy challenge, avoid having users add to the previous submissions

SPIE-AAPM-NCI DAIR Digital Breast Tomosynthesis Lesion Detection Challenge (DBTex) - Phase 1 - Unknown User (bearceba) verify with submitters that decision of phase 2 applies to phase 1

DAIR Digital Breast Tomosynthesis Cancer Detection Challenge - Phase 2 (DBTex2) - keep open

BMMR2 - close on as previously planned. David Newitt responded.

MICCAI 2020 - has already an open test phase

ISBI 2018 - has already an open test phase


Upcoming challenges


Responses to question about keeping challenges open

BMMR2 - do not keep open (David Newitt, Thu 10/28/2021 7:10 PM) - link to the challenge data will be de-activated on 12/1/2021

 - keep open (Emil Sidky, Thu 10/28/2021 11:42 PM) 

SPIE-AAPM-NCI-DAIR & SPIE-AAPM-NCI-DAIR Phase 2  - TBD - (Nick Konz, Wed 11/24/2021 11:36 AM) "Maciej and I discussed this and an idea that we’ve been floating is to have some sort of ongoing validation phase, that would allow anyone to get validation results on their model. We would also want to have a periodic, occasional test phase for people to get test results."


Information sharing


Monthly status reports
due on the 10th day of the following month

Contract / invoice status / SOW
  • the last invoice was for June 2021
  • need invoices at least up to 08/2021 to close out the contract year that ended  
  • need invoices for the current contract year
  • Ben sent reminder emails to Peter Hickey on 10/25/2021. Resent it today.

Paper
The draft will be submitted by September 15, 2020. - Not received

Videos
    • Hold the work on the video for now



Federated learning challenge - proposal for MICCAI, ACR confirmed that the data can be used

Wagner, Ulrike (NIH/NCI) [C] Change SOW, take cloud out, put federated learning modifications for Codalab in, send to Medici for review





...