VSS-SpatioNet: a multi-scale feature fusion network for multimodal image integrations

Infrared and visible image fusion (vis-ir) enhances diagnostic accuracy in medical imaging and biological analysis. Existing CNN-based and Transformer-based methods face computational inefficiencies in modeling global dependencies. The author proposes VSS-SpatioNet, a lightweight architecture that r...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 9306 - 20
1. Verfasser:	Xiang, Zeyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 18.03.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	631/114/1305 631/114/1564 631/114/2401 639/624/1075 639/705/117 639/705/258 Biological analysis Deep learning Efficiency Humanities and Social Sciences Infrared and visible image fusion Lightweight asymmetric encoder-decoder Medical imaging Medical imaging applications Multi-scale feature integration multidisciplinary Science Science (multidisciplinary) Sensors Visual state space (VSS) module Wavelet transforms Visual state space (VSS) module Multi-scale feature integration Medical imaging applications Lightweight asymmetric encoder-decoder Infrared and visible image fusion
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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