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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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Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2023-02-01
coleção:Biomolecules
Assuntos:
aortitis
radiomics
machine learning
convolutional neural network
positron emission tomography/computed tomography
Acesso em linha:https://www.mdpi.com/2218-273X/13/2/343
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