Convolutional Neural Networks for Automated PET/CT Detection of Diseased Lymph Node Burden in Patients with Lymphoma

PURPOSE: To automatically detect lymph nodes involved in lymphoma on fluorine 18 ((18)F) fluorodeoxyglucose (FDG) PET/CT images using convolutional neural networks (CNNs). MATERIALS AND METHODS: In this retrospective study, baseline disease of 90 patients with lymphoma was segmented on (18)F-FDG PET...

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Bibliografische gegevens
Gepubliceerd in:Radiol Artif Intell
Hoofdauteurs: Weisman, Amy J., Kieler, Minnie W., Perlman, Scott B., Hutchings, Martin, Jeraj, Robert, Kostakoglu, Lale, Bradshaw, Tyler J.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Radiological Society of North America 2020
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Original Research
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8082306/
https://ncbi.nlm.nih.gov/pubmed/33937842
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020200016
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