Artificial Neural Network Algorithm to Cluster and Visualize Phantom Experiment Data-Reference-Cited by-同舟云学术

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Artificial Neural Network Algorithm to Cluster and Visualize Phantom Experiment Data

Published:2021-10-16 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
language:
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Author:

Alsyed Emad¹,Smith Rhodri²,Bartley Lee³,Marshall Christopher⁴,Spezi Emiliano⁵

Affiliation:

1. Cardiff University,School of Engineering,Cardiff,UK,CF24 3AA

2. Principal Clinical Scientist With Wales Research and Diagnostic PET Imaging Centre,Cardiff,UK,CF14 4XN

3. Wales Research and Diagnostic PET Imaging Centre,Superintendent Radiographer,Cardiff,UK,CF14 4XN

4. Director of Wales Research and Diagnostic PET Imaging Centre,Cardiff,UK,CF14 4XN

5. Cardiff University,Reader at School of Engineering,Cardiff,UK,CF24 3AA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9875398/9875424/09875826.pdf?arnumber=9875826

Reference11 articles.

1. Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer

2. Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters

3. An Overview of SOM Literature

4. The Statistical Influence of Imaging Time and Segmentation Volume on PET Radiomic Features: A Preclinical Study

5. Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging

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