A new hybrid model for enhancing low-dose CT images using EfficientNetV2 and WGAN-GP: a multi-loss approach

Our EfficientNetV2-WGAN-GP-based method provides a robust solution for LDCT image denoising, significantly improving image clarity while maintaining diagnostic structures. This approach holds potential for enhancing diagnostic accuracy and improving patient safety in clinical practice.

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Publication Details

Journal
European journal of medical research
Published
2025-12-09
DOI
https://doi.org/10.1186/s40001-025-03579-z
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

A new hybrid model for enhancing low-dose CT images using EfficientNetV2 and WGAN-GP: a multi-loss approach

Mohammad Javad Shayegan, Mohammad Hojjat
European journal of medical research
Medical Imaging Techniques and Applications
article

A new hybrid model for enhancing low-dose CT images using EfficientNetV2 and WGAN-GP: a multi-loss approach

Mohammad Javad Shayegan, Mohammad Hojjat
article en

Abstract

Our EfficientNetV2-WGAN-GP-based method provides a robust solution for LDCT image denoising, significantly improving image clarity while maintaining diagnostic structures. This approach holds potential for enhancing diagnostic accuracy and improving patient safety in clinical practice.

European journal of medical researchVol. 31(1)
University of Science and Culture (IR)
Openalex Percentile: Top 46%
Medical Imaging Techniques and Applications
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A new hybrid model for enhancing low-dose CT images using EfficientNetV2 and WGAN-GP: a multi-loss approach — Mohammad Javad Shayegan, Mohammad Hojjat · European journal of medical research (2025) | TGRS Research Map | TGRS