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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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| Publicado no: | Radiol Artif Intell |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2020
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| Assuntos: | |
| Acesso em linha: | 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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