AutoPET
News
March 8th:
The new autoPET-II challenge is now online!
September 18th:
Dear participants of the autoPET challenge,
thank you for an amazing challenge. We have published the leaderboard. See you all next year for autoPET 2023 – stay tuned
September 5th:
Dear participants of the autoPET challenge,
Thank you very much for your effort and your wonderful contributions! We are now in the process of analyzing the results and will contact the top teams within this week, so they can prepare their MICCAI presentations.
August 31st:
Dear autoPET participants,
the challenge deadline is approaching and we would like to encourage you to submit your algorithm also to the final test set. Don‘t be discouraged by the preliminary results as these are not representative. For everyone who submits now, the chances are good as not many teams have been able to provide a final submission so far.
August 27th:
We decided to extend the deadline for a few days to give participants the opportunity to resolve technical challenges that occurred. The new Deadline is Sunday, Sep 4th.
August 2nd:
The Final Test Set is online now. You can now submit your algorithms for evaluation!
July 13th:
Grand Challenge simplified the submission process of algorithms in type-II challenges. Please see the updated Submission if you need to create a new algorithm.
June 3rd:
The database is now published on TCIA and can be downloaded from there in the DICOM format. After download, you can convert the DICOM files to e.g. the NIfTI format using scripts provided here.
May 19th:
We have uploaded the anthropometric and clinical information for further detailed investigations. Please see the updated Dataset page. Publication of the database (including all information) on TCIA will follow soon.
April 22nd:
The challenge github repository including the conversion scripts and our two baselines
models (uNets) is now available.
https://github.com/lab-midas/autoPET
April 18th:
Training database was updated and shape mismatching masks were corrected.
April 13th:
4 datasets have a mask shape mismatch (will be replaced with matching masks soon, update to follow here):
PETCT_e664932bbc/06-09-2007-NA-PET-CT Ganzkoerper primaer mit KM-68140
PETCT_7c1e6175e0/01-30-2005-NA-PET-CT Ganzkoerper primaer mit KM-42498
PETCT_448225c237/01-16-2006-NA-PET-CT Ganzkoerper primaer mit KM-96439
PETCT_dd6165ae36/06-01-2006-NA-PET-CT Ganzkoerper primaer mit KM-08084
PETCT_e664932bbc/06-09-2007-NA-PET-CT Ganzkoerper primaer mit KM-68140
PETCT_7c1e6175e0/01-30-2005-NA-PET-CT Ganzkoerper primaer mit KM-42498
PETCT_448225c237/01-16-2006-NA-PET-CT Ganzkoerper primaer mit KM-96439
PETCT_dd6165ae36/06-01-2006-NA-PET-CT Ganzkoerper primaer mit KM-08084
April 4th:
The challenge github repository with all relevant information and scripts will be available soon…stay tuned
Introduction
Positron Emission Tomography / Computed Tomography (PET/CT) is an integral part of the diagnostic workup forvarious malignant solid tumor entities. Due to its wide applicability, Fluorodeoxyglucose (FDG) is the most widelyused PET tracer in an oncological setting reflecting glucose consumption of tissues, e.g. typically increased glucoseconsumption of tumor lesions.