Automated liver lesion detection in (68)Ga DOTATATE PET/CT using a deep fully convolutional neural network

BACKGROUND: Gastroenteropancreatic neuroendocrine tumors most commonly metastasize to the liver; however, high normal background (68)Ga-DOTATATE activity and high image noise make metastatic lesions difficult to detect. The purpose of this study is to develop a rapid, automated and highly specific m...

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Detalles Bibliográficos
Autores principales: Wehrend, Jonathan, Silosky, Michael, Xing, Fuyong, Chin, Bennett B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487415/
https://www.ncbi.nlm.nih.gov/pubmed/34601660
http://dx.doi.org/10.1186/s13550-021-00839-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487415/
https://www.ncbi.nlm.nih.gov/pubmed/34601660
http://dx.doi.org/10.1186/s13550-021-00839-x

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