Intracranial Tumor Segmentation (ICTS) Challenge 2022

Congratulations!!!

  1. Champion: Chili_Pigpig
  2. 1st Runner-up: sraone
  3. 3rd place: www

Date

2022-7-17Release of training data – 1DOI
2022-9-17Release of training data – 2DOI
2022-10-17Release of training data – 3DOI
2022-11-17Release of validation imagesDOI
2022-12-1Release of training data – 4DOI
2022-12-14Release of test imagesDOI
2022-12-16
23:59
Deadline for result submissionIn submit.py, set
STAGE='2022-test'
to submit test results.
2022-12-17 9:40~11:00AM CSTPresentations at workshop
Room 1005
Evergreen International Convention Center
Important Dates of ICTS 2022

Leaderboard (2022-val)

You need a token to submit!!!

You will get the token for submission one or two days after sign up.

Task

The task is segmentation. The participants are expected to develop their method and produce segmentation labels of the brain tumors to treat, by using the training data.

Prize

According to the points of each team in the final evaluation, we select the highest three teams for regular awards.

The prize will only be awarded to teams giving in-person presentation at workshop (Taipei, 2022-12-17).

  1. Champion:            1 x AI training server (4U rackmount)
  2. 1st Runner-up:      1 x 16TB HDD
  3. 3rd-place:              1 x 2TB SSD

Data

For some reasons, we were prohibited from providing real patient dataset in an open way. Alternatively, we are releasing open datasets generated by DDPM1. Our initial test showed that models trained using synthetic images performed just as well as using real images, if not better. Because synthetic data may make AI systems better and even more ethical2, ICTS 2022 will adopt our open synthetic datasets.

If you are still interested in the real patient dataset, NTUH requested a formal contract. Please contact us for further information.

  • 1. Dorjsembe, Z., Odonchimed, S., & Xiao, F. (2022, April). Three-Dimensional Medical Image Synthesis with Denoising Diffusion Probabilistic Models. In Medical Imaging with Deep Learning.
  • 2. Strickland, E. (2022, March 10). Are you still using real data to train your AI? IEEE Spectrum. Retrieved July 10, 2022, from https://spectrum.ieee.org/synthetic-data-ai

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