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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: BMC 2023-10-01
Series:Cancer Imaging
Subjects:
Deep learning
Radiomics
Machine learning
Metastases
Gastrointestinal
Online Access:https://doi.org/10.1186/s40644-023-00612-4

Internet

https://doi.org/10.1186/s40644-023-00612-4

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