A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on (18)F-FDG PET/CT images

PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) images to distinguish pancreatic ductal adenocarcinoma (PDAC) and autoimmune pancreatitis (AIP), which could ef...

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Detalles Bibliográficos
Autores principales: Wei, Wenting, Jia, Guorong, Wu, Zhongyi, Wang, Tao, Wang, Heng, Wei, Kezhen, Cheng, Chao, Liu, Zhaobang, Zuo, Changjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676903/
https://www.ncbi.nlm.nih.gov/pubmed/36409398
http://dx.doi.org/10.1007/s11604-022-01363-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676903/
https://www.ncbi.nlm.nih.gov/pubmed/36409398
http://dx.doi.org/10.1007/s11604-022-01363-1

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