APSIPA Transactions on Signal and Information Processing > Vol 14 > Issue 5

Radiograph Super-resolution with Pixel-level Masked D-MNet Transformer

Yongsong Huang, Tohoku University, Japan, hys@tohoku.ac.jp , Tomo Miyazaki, Tohoku University, Japan, Zhengmi Tang, Wenzhou University Artificial Intelligence and Advanced Manufacturing Institute, China, Kaiyuan Jiang, Tohoku University, Japan, Yaohou Fan, Tohoku University, Japan, Dongming Yu, Tohoku University, Japan, Shinichiro Omachi, Tohoku University, Japan
 
Suggested Citation
Yongsong Huang, Tomo Miyazaki, Zhengmi Tang, Kaiyuan Jiang, Yaohou Fan, Dongming Yu and Shinichiro Omachi (2025), "Radiograph Super-resolution with Pixel-level Masked D-MNet Transformer", APSIPA Transactions on Signal and Information Processing: Vol. 14: No. 5, e401. http://dx.doi.org/10.1561/116.20250055

Forthcoming: 18 Dec 2025
© 2025 Y. Huang, T. Miyazaki, Z. Tang, K. Jiang, Y. Fan, D. Yu and S. Omachi
 
Subjects
Medical image analysis,  Deep learning,  Enhancement,  Image and video processing
 
Keywords
Musculoskeletal radiographsmedical imagesuper-resolutionimage processingdeep learning
 

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This is published under the terms of CC BY-NC.

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In this article:
Introduction 
Related Work 
Proposed Method 
Experimental Results 
Conclusion 
References 

Abstract

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DOI:10.1561/116.20250055

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APSIPA Transactions on Signal and Information Processing Special Issue - AI for Medical Image Analysis
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