Impact of<sup>18</sup>F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers-Reference-Cited by-同舟云学术

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Impact of¹⁸F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers

Published:2024-03-21 Issue:5 Volume:65 Page:803-809
ISSN:0161-5505
Container-title:Journal of Nuclear Medicine
language:en
Short-container-title:J Nucl Med

Author:

Haider Stefan P.,Zeevi Tal,Sharaf Kariem,Gross Moritz,Mahajan Amit,Kann Benjamin H.,Judson Benjamin L.,Prasad Manju L.,Burtness Barbara,Aboian Mariam,Canis Martin,Reichel Christoph A.,Baumeister Philipp,Payabvash Seyedmehdi

Publisher

Society of Nuclear Medicine

Reference31 articles.

1. Methodological considerations in quantification of oncological FDG PET studies

2. Introduction to Radiomics

3. Radiomics applications in head and neck tumor imaging: a narrative review;Tortora;Cancers (Basel).,2023

4. Improved Prognosis of Treatment Failure in Cervical Cancer with Non-Tumor Positron Emission Tomography / Computed Tomography Radiomics

5. 18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma;Eertink;Eur J Nucl Med Mol Imaging.,2022

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