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OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt. (arXiv:2205.04684v1 [cs.CV])
May 11, 2022, 1:11 a.m. | Yu Fu, Yanyan Huang, Yalin Wang, Shunjie Dong, Le Xue, Xunzhao Yin, Qianqian Yang, Yiyu Shi, Cheng Zhuo
cs.LG updates on arXiv.org arxiv.org
Chronological age of healthy brain is able to be predicted using deep neural
networks from T1-weighted magnetic resonance images (T1 MRIs), and the
predicted brain age could serve as an effective biomarker for detecting
aging-related diseases or disorders. In this paper, we propose an end-to-end
neural network architecture, referred to as optimal transport based feature
pyramid fusion (OTFPF) network, for the brain age estimation with T1 MRIs. The
OTFPF consists of three types of modules: Optimal Transport based Feature
Pyramid …
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