Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs)

Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs)

Nuclear medicine has acquired a crucial role in the management of patients with neuroendocrine neoplasms (NENs) by improving the accuracy of diagnosis and staging as well as their risk stratification and personalized therapies, including radioligand therapies (RLT). Artificial intelligence (AI) and...

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Bibliographic Details
Main Authors: Michele Balma, Riccardo Laudicella, Elena Gallio, Sara Gusella, Leda Lorenzon, Simona Peano, Renato P. Costa, Osvaldo Rampado, Mohsen Farsad, Laura Evangelista, Desiree Deandreis, Alberto Papaleo, Virginia Liberini
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Life
Subjects:
neuroendocrine tumor
NET
machine learning
nuclear medicine
theragnostics
PET
Online Access:https://www.mdpi.com/2075-1729/13/8/1647

Internet

https://www.mdpi.com/2075-1729/13/8/1647

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