Challenge Outcomes๐¶
Open-Source AI Algorithmsย ๐ฉโ๐ป๐จโ๐ป¶
Through the PI-CAI challenge, as a community, we have developed and validated the following baseline and state-of-the-art AI algorithms for clinically significant prostate cancer diagnosis on MRI. We encourage everyone to use and adopt these resources as the starting point for developing new ideas and their very own prostate-AI solutions for cancer management.ย Access to these algorithms is automatically granted (without any human intervention) upon request.¶
# | Algorithm | Inference Algorithm (Closed Testing Phase) | Inference Algorithm (Open Development Phase) | Training Code | Inference Code |
---|---|---|---|---|---|
1 | Grand Challenge | Grand Challenge | N/A | N/A | |
2 | Grand Challenge | Grand Challenge | Pending | Pending |
|
3 | Grand Challenge | Grand Challenge | GitHub | GitHub | |
4 | Grand Challenge | Grand Challenge | N/A | N/A | |
5 | Grand Challenge | Grand Challenge | Pending |
Pending |
|
6 | nnDetection (supervised) | Grand Challenge | Grand Challenge | GitHub | GitHub |
7 | nnU-Net (semi-supervised) | Grand Challenge | Grand Challenge | GitHub | GitHub |
8 | nnDetection (semi-supervised) | Grand Challenge | Grand Challenge | GitHub | GitHub |
9 | nnU-Net (supervised) | Grand Challenge | Grand Challenge | GitHub | GitHub |
10 | U-Net (semi-supervised) | Grand Challenge | Grand Challenge | GitHub | GitHub |
11 | U-Net (supervised) | Grand Challenge | Grand Challenge | GitHub | GitHub |
Stay tuned for more updates on this page!