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UPDATE 2024-07-02
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UPDATE 2024-07-02
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babbu3682 committed Jul 2, 2024
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7 changes: 7 additions & 0 deletions CSV_ZIP/README.md
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# CSV files for evaluating statistical significance with p-values using a paired t-test.

<p align="center"><img width="100%" src="CSV_ZIP/figures/Brain_Total.png" /></p>
Fig. A. Comparison with previous methods on the brain test set for statistical significance evaluation, with p-values evaluated between MTD-GAN and other methods using a paired t-test. MTD-GAN demonstrated significantly better performance (P < 0.0001) compared to all previous works in all metrics, except for CTformer in terms of PSNR (p-value: 0.0255).

<p align="center"><img width="100%" src="CSV_ZIP/figures/Abdomen_Total.png" /></p>
Fig. B. Comparison with previous methods on the abdomen test set for statistical significance evaluation, with p-values evaluated between MTD-GAN and other methods using a paired t-test. MTD-GAN demonstrated significantly better performance (P < 0.0001) compared to all previous works in all metrics.


As specified in "Section IV, B. Implementation Details" in our manuscirpt, the statistical significance of all experiments was assessed using the MedCalc software (Version 22.023).

Paired t-tests were conducted for each metric, with the exception of the FID.
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2 changes: 2 additions & 0 deletions HIGH_RESOLUTION_FIGURES/README.md
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# High-quality images included in our manuscript.

<p align="center"><img width="100%" src="https://drive.google.com/file/d/14njed8VjNqTzKKEFgnWzRKWURTQvUJxb/view?usp=drive_link" /></p>

Based on expert opinion that the differences are more evident when evaluating with high-quality images, we highly recommend image comparison using high-quality images.

All image data have been uploaded to the repository [🖇️Link](https://github.com/babbu3682/MTD-GAN/tree/main/HIGH_RESOLUTION_FIGURES)
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