Venue: MICCAI 2022 Challenge FLARE

Reviews:

final_score: rating: 3: Clear rejection
review_content: In this work, they proposed a UNet like model. however the segmentation is bad especially for spleen(~0.089)
A lot of work can be do in the future!
review_title: Its mean DSC is not good.

final_score: rating: 3: Clear rejection
review_content: Strength: The authors proposed a novel semi-supervised pipeline using recently proposed UNeXt along with self-training strategy which is an innovative idea.

Weakness: 
1. There so many key elements lost in the paper, for example:
* There are 13 classes to segment, yet the authors only listed 6 of them in the Quantitative Analysis
* In Qualitative Analysis, the ground truth of selected samples are not given
2. Using a 2D network on 3D slices may lead to the loss of dimensional information, the solution or methods to avoid this problem is not given in the paper
review_title: An Efficient Multi-center Abdominal Organ Segmentation Network

Meta-review: metareview: Reviewers raise many concerns and suggestions. Please address all comments in the revised manuscript.
confidence: 5: The area chair is absolutely certain
Decision: Major Revision