Skip to ContentSkip to Navigation
Over ons Praktische zaken Waar vindt u ons Y. Yin

Publicaties

Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT

Machine learning for non-invasive tissue characterization in body imaging

Optimal radiological gallbladder lesion characterization by combining visual assessment with CT-based radiomics

The Value of Deep Learning in Gallbladder Lesion Characterization

Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis Staging

Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [F-18]FDG PET/CT features

Combining hepatic and splenic CT radiomic features improves liver fibrosis staging

Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model

Machine Learning in the Differentiation of Follicular Lymphoma from Diffuse Large B-cell Lymphoma with Radiomic [18F]FDG PET/CT Features

Lees meer