CNN–Transformer gated fusion network for medical image super-resolution

Abstract To solve the problems of image detail blurring and insufficient utilization of global information in the existing medical image super-resolution reconstruction, this paper proposes a dual-branch fusion network based on residual Transformer network and dynamic convolutional neural network (C...

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Bibliographic Details
Main Authors: Juanjuan Qin, Jian Xiong, Zhantu Liang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-00119-x
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