Venue: MICCAI 2022 Challenge FLARE

Reviews:

final_score: rating: 9: Top 15% of accepted papers, strong accept
review_content: Pros：
1）In this work, they do segmentation by three stages: global locating, organ locating and organ segmentation which reducing the resource consumption a lot.
2) The final mean DSC is 0.77 and the average inference time is 81.42s.
3) The RAM usage and GPU consumption are pretty low

Cons:
1) The way to use the unlabeled data is talked little.
review_title: Good work, the inference time is acceptable and the GPU memory consumption is really low！

Meta-review: metareview: Please address the three reviewers' comments here 
https://openreview.net/forum?id=WgYphAbJZS-&referrer=%5BProgram%20Chair%20Console%5D(%2Fgroup%3Fid%3DMICCAI.org%2F2022%2FChallenge%2FFLARE%2FProgram_Chairs%23paper-status)
confidence: 5: The area chair is absolutely certain
Decision: Major Revision