Deep Learning Radiopathomics Models Based on Contrast-enhanced MRI and Pathologic Imaging for Predicting Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma
Yixing Yu, Lixiu Cao, Binqing Shen, Mingzhan Du, Wenhao Gu, Chunyan Gu, Yanfen Fan, Cen Shi, Qian Wu, Tao Zhang, Mo Zhu, Ximing Wang, Chunhong Hu
Abstract
Deep learning radiopathomics models based on MR images and pathologic images effectively helped predict the vessels encapsulating tumor clusters pattern in hepatocellular carcinoma and risk for early recurrence and progression-free survival.
Topics & Concepts
Hepatocellular carcinomaMedicineContrast (vision)RadiologyPathologyArtificial intelligenceInternal medicineComputer scienceRadiomics and Machine Learning in Medical ImagingHepatocellular Carcinoma Treatment and PrognosisMRI in cancer diagnosis