Venue: MICCAI 2022 Challenge FLARE

Reviews:

final_score: rating: 2: Strong rejection
review_content: Pros:
1.The analysis of the challenges were given in introduction.

Cons:
1.The paper is incomlete, and the details of the pipeline remain unclear.
2.The concept of 'DMFNet' was only introduced in Abstract and Introduction section, but specific framework and principle was omit.

review_title: The paper is incomplete and needs further explanation.

final_score: rating: 2: Strong rejection
review_content: The authors apply the attention block to the DMFNet and propose a new Attention DMFNet for medical imaging, which can automatically learn and focus target structures of different shapes and size.

But this article lacks all necessary parts.This article is a official template except for the summary and introduction.
Please confirm whether the wrong file has been uploaded?
review_title: A two-stage neural network for medical image segmentation

final_score: rating: 1: Trivial or wrong
review_content: This paper does not describe the methods and results in detail. The paper is incomplete, missing the content of methods and results.
review_title: The structure of the paper is incomplete.

final_score: rating: 2: Strong rejection
review_content: Strength: The authors clear figured out the core difficulty of this segmentation dataset.
Weakness: This paper is totally unfinished, many core parts are not written.
review_title: The paper is not finished

final_score: rating: 2: Strong rejection
review_content: This paper missing the details of method,result and the conclusion.
It seemed that this paper is just the official provided template.
review_title: It is bad and miss a lot of information.

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