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

Abstract 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 p...

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Autors principals:	Hishan Tharmaseelan, Abhinay K. Vellala, Alexander Hertel, Fabian Tollens, Lukas T. Rotkopf, Johann Rink, Piotr Woźnicki, Isabelle Ayx, Sönke Bartling, Dominik Nörenberg, Stefan O. Schoenberg, Matthias F. Froelich
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2023-10-01
Col·lecció:	Cancer Imaging
Matèries:	Deep learning Radiomics Machine learning Metastases Gastrointestinal
Accés en línia:	https://doi.org/10.1186/s40644-023-00612-4
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