Anomaly Analysis of Alzheimer’s Disease in PET Images Using an Unsupervised Adversarial Deep Learning Model

Anomaly Analysis of Alzheimer’s Disease in PET Images Using an Unsupervised Adversarial Deep Learning Model

In this study, the anomaly analysis of Alzheimer’s disease using positron emission tomography (PET) images using an unsupervised proposed adversarial model is investigated. The model consists of three parts: a parallel-network encoder, which is comprised of a convolutional pipeline and a dilated con...

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Bibliographic Details
Main Authors: Husnu Baris Baydargil, Jang-Sik Park, Do-Young Kang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
computer vision
Alzheimer’s disease
deep learning
anomaly detection
deepadversarial networks
Online Access:https://www.mdpi.com/2076-3417/11/5/2187

Internet

https://www.mdpi.com/2076-3417/11/5/2187

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