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Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning

OBJECTIVES: The goal of this study is to demonstrate the performance of radiomics and CNN-based classifiers in determining the primary origin of gastrointestinal liver metastases for visually indistinguishable lesions. METHODS: In this retrospective, IRB-approved study, 31 pancreatic cancer patients...

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Detalles Bibliográficos
Autores principales:	Tharmaseelan, Hishan, Vellala, Abhinay K., Hertel, Alexander, Tollens, Fabian, Rotkopf, Lukas T., Rink, Johann, Woźnicki, Piotr, Ayx, Isabelle, Bartling, Sönke, Nörenberg, Dominik, Schoenberg, Stefan O., Froelich, Matthias F.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557291/ https://www.ncbi.nlm.nih.gov/pubmed/37798797 http://dx.doi.org/10.1186/s40644-023-00612-4

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