Few shots transfer learning for universal SPECT denoising across diverse acquisition protocols

. The proposed transfer learning (TL) framework effectively addressed data scarcity and improved reconstruction performance across diverse SPECT acceleration scenarios. The adoption of a TL strategy mitigates data scarcity by utilizing shared features and fine-tuning for specific protocols. The framework demonstrates potential for integration into fast SPECT workflows, facilitating reliable use across diverse imaging scenarios.

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Publication Details

Journal
Physics in Medicine and Biology
Published
2026-04-13
DOI
https://doi.org/10.1088/1361-6560/ae5eb8
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Few shots transfer learning for universal SPECT denoising across diverse acquisition protocols

Boyang Pan, Yuting Shen, Jianchen Pan, Jie Chen et al.
Physics in Medicine and Biology
Medical Imaging Techniques and Applications
article

Few shots transfer learning for universal SPECT denoising across diverse acquisition protocols

Boyang Pan, Yuting Shen, Jianchen Pan, Jie Chen, Hang Yang, Kexin Gan, Wei Guo, Langdi Zhong, Laiping Xie, Nanjie Gong, Hongmin Li
article en

Abstract

. The proposed transfer learning (TL) framework effectively addressed data scarcity and improved reconstruction performance across diverse SPECT acceleration scenarios. The adoption of a TL strategy mitigates data scarcity by utilizing shared features and fine-tuning for specific protocols. The framework demonstrates potential for integration into fast SPECT workflows, facilitating reliable use across diverse imaging scenarios.

Physics in Medicine and BiologyVol. 71(8)
Army Medical University (CN), Dynamic Research (United States) (US), Southwest Hospital (CN), Hua Medicine (China) (CN), East China Normal University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Medical Imaging Techniques and Applications
DOIOpen Access PDFOpenAlex
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Few shots transfer learning for universal SPECT denoising across diverse acquisition protocols — Boyang Pan, Yuting Shen, et al. · Physics in Medicine and Biology (2026) | TGRS Research Map | TGRS