Radiomics based on (18)F‐FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine‐learning approach: A preliminary study

PURPOSE: Our study assessed the ability (18)F‐fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics to differentiate breast carcinoma from breast lymphoma using machine‐learning approach. METHODS: Sixty‐five breast nodules from 44 patients diagnosed as breast...

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Detalles Bibliográficos
Autores principales: Ou, Xuejin, Zhang, Jing, Wang, Jian, Pang, Fuwen, Wang, Yongsheng, Wei, Xiawei, Ma, Xuelei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Clinical Cancer Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970046/
https://www.ncbi.nlm.nih.gov/pubmed/31769230
http://dx.doi.org/10.1002/cam4.2711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970046/
https://www.ncbi.nlm.nih.gov/pubmed/31769230
http://dx.doi.org/10.1002/cam4.2711

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