Temporal Encoded Deep Learning Radiomics Model for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma

Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model

(2023) Tian-yi Xia et al.   RADIOLOGY

Preoperative Microvascular Invasion Prediction to Assist in Surgical Plan for Single Hepatocellular Carcinoma: Better Together with Radiomics

(2022) Xiang-Pan Meng et al.   ANNALS OF SURGICAL ONCOLOGY

Cancer statistics, 2022

(2022) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Deep learning combined with radiomics for the classification of enlarged cervical lymph nodes

(2022) Wentao Zhang et al.   JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY

Preoperative Radiomics Analysis of Contrast-Enhanced CT for Microvascular Invasion and Prognosis Stratification in Hepatocellular Carcinoma

(2022) Tingfeng Xu et al.   Journal of Hepatocellular Carcinoma

MVI-Mind: A Novel Deep-Learning Strategy Using Computed Tomography (CT)-Based Radiomics for End-to-End High Efficiency Prediction of Microvascular Invasion in Hepatocellular Carcinoma

(2022) Liyang Wang et al.   Cancers

Evolutionary Learning-Derived Clinical-Radiomic Models for Predicting Early Recurrence of Hepatocellular Carcinoma after Resection

(2021) I-Cheng Lee et al.   Liver Cancer

Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images

(2021) Zhongliang Xue et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning

(2020) Yi-Quan Jiang et al.   JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY

A standardized pathological proposal for evaluating microvascular invasion of hepatocellular carcinoma: a multicenter study by LCPGC

(2020) Xia Sheng et al.   Hepatology International

Radiomic Analysis of Contrast-Enhanced CT Predicts Microvascular Invasion and Outcome in Hepatocellular Carcinoma

(2019) Xun Xu et al.   JOURNAL OF HEPATOLOGY

Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT

(2019) Xiaohong Ma et al.   EUROPEAN RADIOLOGY

Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI

(2019) Shi-Ting Feng et al.   EUROPEAN RADIOLOGY

Effect of Microvascular Invasion Risk on Early Recurrence of Hepatocellular Carcinoma After Surgery and Radiofrequency Ablation

(2019) Sunyoung Lee et al.   ANNALS OF SURGERY

Peritumoral tissue on preoperative imaging reveals microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis

(2018) Hang-Tong Hu et al.   Abdominal Radiology

Risk Factors, Patterns, and Outcomes of Late Recurrence After Liver Resection for Hepatocellular Carcinoma

(2018) Xin-Fei Xu et al.   JAMA Surgery

Preoperative gadoxetic acid–enhanced MRI for predicting microvascular invasion in patients with single hepatocellular carcinoma

(2017) Sunyoung Lee et al.   JOURNAL OF HEPATOLOGY

Recurrence of Hepatocellular Carcinoma After Laparoscopic Hepatectomy: Risk Factors and Treatment Strategies

(2017) Xiaodong Xu et al.   Journal of Laparoendoscopic & Advanced Surgical Techniques

A computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma

(2015) Sudeep Banerjee et al.   HEPATOLOGY

Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model

(2014) Yu Guo et al.   Computational and Mathematical Methods in Medicine

Preoperative prediction of hepatocellular carcinoma tumour grade and micro-vascular invasion by means of artificial neural network: A pilot study

(2010) Alessandro Cucchetti et al.   JOURNAL OF HEPATOLOGY