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...

Descripción completa

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

Internet

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

Ejemplares similares