[HTML][HTML] Radiomics and deep learning: hepatic applications
HJ Park, B Park, SS Lee - Korean journal of radiology, 2020 - synapse.koreamed.org
Radiomics and deep learning have recently gained attention in the imaging assessment of
various liver diseases. Recent research has demonstrated the potential utility of radiomics …
various liver diseases. Recent research has demonstrated the potential utility of radiomics …
Radiomics in liver diseases: Current progress and future opportunities
J Wei, H Jiang, D Gu, M Niu, F Fu, Y Han… - Liver …, 2020 - Wiley Online Library
Liver diseases, a wide spectrum of pathologies from inflammation to neoplasm, have
become an increasingly significant health problem worldwide. Noninvasive imaging plays a …
become an increasingly significant health problem worldwide. Noninvasive imaging plays a …
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement
Objectives To evaluate radiomics studies according to radiomics quality score (RQS) and
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or …
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or …
Predicting breast cancer in breast imaging reporting and data system (BI-RADS) ultrasound category 4 or 5 lesions: a nomogram combining radiomics and BI-RADS
W Luo, Q Huang, X Huang, H Hu, F Zeng, W Wang - Scientific reports, 2019 - nature.com
Radiomics reflects the texture and morphological features of tumours by quantitatively
analysing the grey values of medical images. We aim to develop a nomogram incorporating …
analysing the grey values of medical images. We aim to develop a nomogram incorporating …
Radiomics analysis of [18F]FDG PET/CT for microvascular invasion and prognosis prediction in very-early- and early-stage hepatocellular carcinoma
Y Li, Y Zhang, Q Fang, X Zhang, P Hou, H Wu… - European journal of …, 2021 - Springer
As a reliable preoperative predictor for microvascular invasion (MVI) and disease-free
survival (DFS) is lacking, we developed a radiomics nomogram of [18 F] FDG PET/CT to …
survival (DFS) is lacking, we developed a radiomics nomogram of [18 F] FDG PET/CT to …
Ultrasound-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in early-stage invasive breast cancer
FH Yu, JX Wang, XH Ye, J Deng, J Hang… - European journal of …, 2019 - Elsevier
Purpose To establish a radiomics nomogram integrating clinical factors and radiomics
features from ultrasound for the preoperative diagnosis axillary lymph node (ALN) status in …
features from ultrasound for the preoperative diagnosis axillary lymph node (ALN) status in …
Artificial intelligence in precision medicine in hepatology
The advancement of investigation tools and electronic health records (EHR) enables a
paradigm shift from guideline‐specific therapy toward patient‐specific precision medicine …
paradigm shift from guideline‐specific therapy toward patient‐specific precision medicine …
Deep learning with 3D convolutional neural network for noninvasive prediction of microvascular invasion in hepatocellular carcinoma
Background Microvascular invasion (MVI) is a critical prognostic factor of hepatocellular
carcinoma (HCC). However, it could only be obtained by postoperative histological …
carcinoma (HCC). However, it could only be obtained by postoperative histological …
Potential application of dynamic contrast enhanced ultrasound in predicting microvascular invasion of hepatocellular carcinoma
Y Dong, Y Qiu, D Yang, L Yu, D Zuo… - Clinical …, 2021 - content.iospress.com
OBJECTIVE: To investigate the clinical value of dynamic contrast enhanced ultrasound (D-
CEUS) in predicting the microvascular invasion (MVI) of hepatocellular carcinoma (HCC) …
CEUS) in predicting the microvascular invasion (MVI) of hepatocellular carcinoma (HCC) …
Contrast‐enhanced CT radiomics for preoperative evaluation of microvascular invasion in hepatocellular carcinoma: a two‐center study
X Zhang, S Ruan, W Xiao, J Shao… - Clinical and …, 2020 - Wiley Online Library
Background The present study constructed and validated the use of contrast‐enhanced
computed tomography (CT)‐based radiomics to preoperatively predict microvascular …
computed tomography (CT)‐based radiomics to preoperatively predict microvascular …