Convolution Neural Networks for the Automatic Segmentation of 18F-FDG PET Brain as an Aid to Alzheimer’s Disease Diagnosis

Convolution Neural Networks for the Automatic Segmentation of 18F-FDG PET Brain as an Aid to Alzheimer’s Disease Diagnosis

Our work aims to exploit deep learning (DL) models to automatically segment diagnostic regions involved in Alzheimer’s disease (AD) in 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) volumetric scans in order to provide a more objective diagnosis of this disease and to reduce the v...

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Bibliographic Details
Main Authors: Elena Pasini, Dario Genovesi, Carlo Rossi, Lisa Anita De Santi, Vincenzo Positano, Assuero Giorgetti, Maria Filomena Santarelli
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Electronics
Subjects:
18F-FDG PET
deep learning
segmentation
convolutional neural network
Alzheimer’s disease
Online Access:https://www.mdpi.com/2079-9292/11/14/2260

Internet

https://www.mdpi.com/2079-9292/11/14/2260

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