FFTMed: leveraging fast-fourier transform for a lightweight and adversarial-resilient medical image segmentation framework
Abstract Accurate and reliable medical image segmentation is essential for computer-aided diagnosis and formulating appropriate treatment plans. However, noise often significantly reduces diagnostic accuracy and complicates treatment planning. Therefore, noise reduction in medical imaging is paramou...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-10-01
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| coleção: | Scientific Reports |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1038/s41598-025-21799-5 |
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