Author profile
School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences
To develop and validate a CT-based habitat radiomics approach for quantitative characterization of intratumoral heterogeneity and assessment of p40 protein expression derived from immunohistochemistry.
This study characterizes the spatial heterogeneity of non-small cell lung cancer (NSCLC) using intratumoral habitat radiomics and explores its predictive capability for overall survival in radiotherapy-treated patients by integrating it with peritumoral radio...
To develop a clinically adaptable 3D deep learning framework for synthesizing quantitative PET images from routine CT volumes, enabling reliable metabolic assessment for lung cancer while reducing reliance on additional PET scans.
Liver biopsy is the gold standard for evaluating liver fibrosis, yet it is invasive and subject to sampling error and interobserver variability. We therefore developed a B-mode ultrasound-based deep learning model for noninvasive staging of liver fibrosis in...