Synthetic dataset for medical image diagnostics

The dataset used in this study is a synthetic dataset for medical image diagnostics. It contains 1000 normal images and 1000 anomaly images. The normal images are generated using a diffusion model, and the anomaly images are generated by adding noise to the normal images.

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Cite this as

Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi (2024). Dataset: Synthetic dataset for medical image diagnostics. https://doi.org/10.57702/z6ezq2zv

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2402.11789
Author Teruyuki Katsuoka
More Authors
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
Homepage https://github.com/teruyukikatsuoka/DMAD-test