An Automated Method for Artifical Intelligence Assisted Diagnosis of Active Aortitis Using Radiomic Analysis of FDG PET-CT Images

An Automated Method for Artifical Intelligence Assisted Diagnosis of Active Aortitis Using Radiomic Analysis of FDG PET-CT Images

The aim of this study was to develop and validate an automated pipeline that could assist the diagnosis of active aortitis using radiomic imaging biomarkers derived from [18F]-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography (FDG PET-CT) images. The aorta was automatically segment...

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Bibliographic Details
Main Authors: Lisa M. Duff, Andrew F. Scarsbrook, Nishant Ravikumar, Russell Frood, Gijs D. van Praagh, Sarah L. Mackie, Marc A. Bailey, Jason M. Tarkin, Justin C. Mason, Kornelis S. M. van der Geest, Riemer H. J. A. Slart, Ann W. Morgan, Charalampos Tsoumpas
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Biomolecules
Subjects:
aortitis
radiomics
machine learning
convolutional neural network
positron emission tomography/computed tomography
Online Access:https://www.mdpi.com/2218-273X/13/2/343

Internet

https://www.mdpi.com/2218-273X/13/2/343

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