A 3D-ResNet Combined with BRNN: Application in the Auxiliary Diagnosis of ADHD
Authors: LI KUAI, Hui Zou


Reviewer paper summaries: The paper describes some models for ADHD detection based on fMRI scans. The authors constructed some modifications of standard deep models and estimated their accuracies.
Summary of strengths: The topic of the study is important.
I do not see any other strengths.
Summary of weaknesses: - quality of text is vert low
- the authors did not discuss any novelty of the proposed architectures
- the work does not have any significant connection with NLP
- the authors did not provide any comparison with results of existing architectures on the considered dataset
Comments, suggestions and typos: The paper can not be published in its current state.
Overall assessment scores: 0