Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance

Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance

Deep learning (DL) algorithms used for DOTATATE PET lesion detection typically require large, well-annotated training datasets. These are difficult to obtain due to low incidence of gastroenteropancreatic neuroendocrine tumors (GEP-NETs) and the high cost of manual annotation. Furthermore, networks...

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Bibliographic Details
Main Authors: Xinyi Yang, Michael Silosky, Jonathan Wehrend, Daniel V. Litwiller, Muthiah Nachiappan, Scott D. Metzler, Debashis Ghosh, Fuyong Xing, Bennett B. Chin
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Bioengineering
Subjects:
deep learning
convolutional neural network
gastroenteropancreatic neuroendocrine tumor
GEP-NET
DOTATATE
positron emission tomography
Online Access:https://www.mdpi.com/2306-5354/11/3/226

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