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Feature-aware unsupervised lesion segmentation for brain tumor images using fast data density functional transform
We demonstrate that isomorphically mapping gray-level medical image matrices onto energy spaces underlying the framework of fast data density functional transform (fDDFT) can achieve the unsupervised recognition of lesion morphology. By introducing the architecture of geometric deep learning and met...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442428/ https://www.ncbi.nlm.nih.gov/pubmed/37604860 http://dx.doi.org/10.1038/s41598-023-40848-5 |