Application Value of Radiomics Approach in Predicting Chromosomal Arms 1p/19q in Low-Grade Gliomas

A deep learning model to predict near pathological complete response for rectal cancer by the diffusion MRI data before chemoradiotherapy

Deep Learning to Discriminate Nasopharyngeal Carcinoma and Benign Hyperplasia on MRI

Author:Lun M. Wong  Ann D. King  Qiyong Ai  

Institution:The Chinese University of Hong Kong  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Cancer Imaging: Diffusion, Perfusion, MRS & Machine Learning  

Session Name:Cancer Imaging: Machine Learning & Radiomics  

Program Number:4826  

Room Live Q&A Session:

Differential diagnosis of hepatic benign and malignant tumors using texture features based on multiple high b-values DWI

DWI-based Radiomics Nomogram Predicting Recurrence-Free Survival in Patients with Muscle-Invasive Bladder Cancer

Investigating the correlation and repeatability of radiomic features derived from Apparent Diffusion Coefficient maps of Soft-Tissue Sarcoma

Neural-network discrimination of human plasma samples to detect pancreatic cancer

Prediction of therapeutic response of HCC to transcatheter arterial chemoembolization based on pretherapeutic dynamic enhanced MRI radiomics

Surveillance of the Morphologic and Metabolic Features of the Tumor Microenvironment During Progression of Glioblastoma