Deep domain generalization method via low-rank category constraint for multi-site ASD identification

Lei Yu; Li Wang; Ming Cheng; Minhao Xue; Lei Wang

doi:10.1117/12.3007056

10 October 2023 Deep domain generalization method via low-rank category constraint for multi-site ASD identification

Lei Yu, Li Wang, Ming Cheng, Minhao Xue, Lei Wang

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127993X (2023) https://doi.org/10.1117/12.3007056
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

With the development of deep learning in diagnosing autism spectrum disorder (ASD), multi-site resting-state functional magnetic resonance imaging (rs-fMRI) images have made excellent progress. However, there is a heterogeneous problem between the multi-site data caused by inconsistent data distribution. Existing domain adaptation methods cannot deal with the issue that the target domain data is unavailable during the training stage. To address this problem, we propose a deep domain generalization method via low-rank category constraint (DDGLCC) for multi-site ASD identification. The main idea is capturing the category discriminative information through the domain-specific networks and gaining the consistently shared information through the domain-invariant network. A novel category-based low-rank constraint strategy is used to align two types of networks. In the test stage, the well-trained domain-invariant network is applied to the unseen target domain data. Whether the results on different deep structure experiments or different lowrank constraints experiments, the proposed DDGLCC method achieves the best performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lei Yu, Li Wang, Ming Cheng, Minhao Xue, and Lei Wang "Deep domain generalization method via low-rank category constraint for multi-site ASD identification", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127993X (10 October 2023); https://doi.org/10.1117/12.3007056

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