Thus, in this paper, we propose the squeeze and excitation transformer (SQET) for pursuing high-accuracy brain age estimation, in which a squeeze and excitation ...
In this paper, we propose a new brain age estimation model: SQET, the Squeeze and Excitation Transformer. By adopting a transformer-CNN hybrid architecture, we ...
Thus, in this paper, we propose the squeeze and excitation transformer (SQET) for pursuing high-accuracy brain age estimation, in which a squeeze and excitation ...
Duration: 9:28
Posted: Jun 8, 2023
Posted: Jun 8, 2023
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Nov 4, 2023 · The squeeze and excitation transformer (SQET) proposed in the paper by Hu et al. achieves high-accuracy brain age estimation by capturing ...
This paper proposes the squeeze and excitation transformer (SQET) for pursuing high-accuracy brain age estimation, in which a squeeze andexcitation module ...
Thus, in this paper, we propose the squeeze and excitation transformer (SQET) for pursuing high-accuracy brain age estimation, in which a ...
Apr 25, 2024 · SQET: Squeeze and Excitation Transformer for High-accuracy Brain Age Estimation. BIBM 2022: 1554-1557; 2021. [j1]. view. electronic edition via ...
May 16, 2024 · SQET: Squeeze and excitation transformer for high-accuracy brain age estimation. In 2022 IEEE International Conference on Bioinformatics and ...
Bashyam et al. [8] developed a DeepBrainNet for brain age prediction based on 2D slices, providing an MAE of 3.702 years on a large set of MRI scans.
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