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Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on (68)Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods
The identification of bone lesions is crucial in the diagnostic assessment of multiple myeloma (MM). (68)Ga-Pentixafor PET/CT can capture the abnormal molecular expression of CXCR-4 in addition to anatomical changes. However, whole-body detection of dozens of lesions on hybrid imaging is tedious and...
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| Publicado no: | Contrast Media Mol Imaging |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5817261/ https://ncbi.nlm.nih.gov/pubmed/29531504 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/2391925 |
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