A novel multimodel medical image fusion framework with edge enhancement and cross-scale transformer

A novel multimodel medical image fusion framework with edge enhancement and cross-scale transformer

Abstract Multimodal medical image fusion (MMIF) integrates complementary information from different imaging modalities to enhance image quality and remove redundant data, benefiting a variety of clinical applications such as tumor detection and organ delineation. However, existing MMIF methods often...

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Bibliographic Details
Main Authors: Fei Luo, Daoqi Wu, Luis Rojas Pino, Weichao Ding
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Multimodal medical image fusion
Edge enhancement
Cross-scale transformer
Hierarchical cross-scale embedding
Concise loss function
Online Access:https://doi.org/10.1038/s41598-025-93616-y
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https://doi.org/10.1038/s41598-025-93616-y

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