Open access
Jul 2026
An Interpretable Machine Learning Model for the Differentiation of Liver Cysts and Liver Tumors Based on Computed Tomography (CT) Imaging
An explainable radiomics-based machine learning framework for the non-invasive, accurate, and interpretable discrimination of MLT and PLC, designed to assist radiologists in reducing diagnostic ambiguity and expediting patient management is proposed.
Mamoun Qjidaa, Anass Benfares, Mohammed Amine El Azami El Hassani et al.
· Livers · 0 citations