Identifying Triple-Negative Breast Cancer Using Background Parenchymal Enhancement Heterogeneity on Dynamic Contrast-Enhanced MRI: A Pilot Radiomics Study
Jeff Wang(Hokkaido University), Hiroki Shirato(Hokkaido University), Yi Cui(Kunming University of Science and Technology), Kohsuke Kudo(Hokkaido University), Khin Khin Tha(Hokkaido University), Noriko Oyama‐Manabe(Hokkaido University Hospital), Ruijiang Li(Peking University), Fumi Kato(Hokkaido University Hospital), Hiroko Yamashita(Hokkaido University Hospital)
Cited by 135
Related Papers
Development and Validation of an Individualized Immune Prognostic Signature in Early-Stage Nonsquamous Non–Small Cell Lung Cancer
|JAMA Oncology|2017|600
Machine Learning in Radiation Oncology
|Unknown|2015|277
GPU-based fast cone beam CT reconstruction from undersampled and noisy projection data via total variation
|Medical Physics|2010|237
Predicting treatment response from longitudinal images using multi-task deep learning
|Nature Communications|2021|215