Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement.
Image processing plays a crucial role in maximising diagnostic quality of positron emission tomography (PET) images. Recently, deep learning methods developed across many fields have shown tremendous potential when applied to medical image enhancement, resulting in a rich and rapidly advancing liter...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 49; no. 9; pp. 3098 - 3119 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
2022
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| Acceso en línea: | Ver este registro en EBSCOhost |