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Article

Diffused Multi-scale Generative Adversarial Network for low- dose PET images reconstruction

2024-12-09

Abstract excerpt

<title>Abstract</title> <p><bold>Purpose: </bold>The aim of this study is to reconstruct low-dose PET (L-PET) images to full-dose PET (F-PET)images based on our Diffused Multi-scale Generative Adversarial Network (DMGAN) to resolve the trade-off between lowering radiation exposure and sustaining diagnostic accuracy. <bold>Methods:</bold> The proposed method including two modules: the diffusion generator and the u...

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Literature Corpus work
d21fe91f-5a0d-5e59-adb1-23681ab65d0b
DOI
10.21203/rs.3.rs-5151497/v1
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Diffused Multi-scale Generative Adversarial Network for low- dose PET images reconstructionDOI 10.21203/rs.3.rs-5151497/v1
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