A convolutional neural network for total tumor segmentation in [(64)Cu]Cu-DOTATATE PET/CT of patients with neuroendocrine neoplasms

BACKGROUND: Segmentation of neuroendocrine neoplasms (NENs) in [(64)Cu]Cu-DOTATATE positron emission tomography makes it possible to extract quantitative measures useable for prognostication of patients. However, manual tumor segmentation is cumbersome and time-consuming. Therefore, we aimed to impl...

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Detalles Bibliográficos
Autores principales: Carlsen, Esben Andreas, Lindholm, Kristian, Hindsholm, Amalie, Gæde, Mathias, Ladefoged, Claes Nøhr, Loft, Mathias, Johnbeck, Camilla Bardram, Langer, Seppo Wang, Oturai, Peter, Knigge, Ulrich, Kjaer, Andreas, Andersen, Flemming Littrup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148347/
https://www.ncbi.nlm.nih.gov/pubmed/35633448
http://dx.doi.org/10.1186/s13550-022-00901-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148347/
https://www.ncbi.nlm.nih.gov/pubmed/35633448
http://dx.doi.org/10.1186/s13550-022-00901-2

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