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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Detalles Bibliográficos
Autores principales: Xu, Lina, Tetteh, Giles, Lipkova, Jana, Zhao, Yu, Li, Hongwei, Christ, Patrick, Piraud, Marie, Buck, Andreas, Shi, Kuangyu, Menze, Bjoern H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5817261/
https://www.ncbi.nlm.nih.gov/pubmed/29531504
http://dx.doi.org/10.1155/2018/2391925

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5817261/
https://www.ncbi.nlm.nih.gov/pubmed/29531504
http://dx.doi.org/10.1155/2018/2391925

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