Shearlet Transform Applied to a Prostate Cancer Radiomics Analysis on MR Images
For decades, wavelet theory has attracted interest in several fields in dealing with signals.
Nowadays, it is acknowledged that it is not very suitable to face aspects of multidimensional …
Nowadays, it is acknowledged that it is not very suitable to face aspects of multidimensional …
Exploring tumor heterogeneity in colorectal liver metastases by imaging: Unsupervised machine learning of preoperative CT radiomics features for prognostic …
Q Wang, H Nilsson, K Xu, X Wei, D Chen… - European Journal of …, 2024 - Elsevier
Objectives This study aimed to investigate tumor heterogeneity of colorectal liver metastases
(CRLM) and stratify the patients into different risk groups of prognoses following liver …
(CRLM) and stratify the patients into different risk groups of prognoses following liver …
Multiparametric MRI-based radiomics nomogram for the preoperative prediction of lymph node metastasis in rectal cancer: A two-center study
Y Zheng, X Chen, H Zhang, X Ning, Y Mao… - European Journal of …, 2024 - Elsevier
Purpose To develop a radiomic nomogram based on multiparametric magnetic resonance
imaging for the preoperative prediction of lymph node metastasis (LNM) in rectal cancer …
imaging for the preoperative prediction of lymph node metastasis (LNM) in rectal cancer …
Construction of a radiogenomic signature based on endoplasmic reticulum stress for predicting prognosis and systemic combination therapy response in …
HY Wu, SY Cao, ZG Xu, T Wang, GW Ji, K Wang - 2024 - researchsquare.com
Background: Hepatocellular carcinomais one of the most common tumors worldwide.
Various factors in the tumor microenvironment can lead to the activation of endoplasmic …
Various factors in the tumor microenvironment can lead to the activation of endoplasmic …
CT-based deep learning radiomics model for preoperative prediction of microvascular invasion in intrahepatic cholangiocarcinoma and its clinical value: a two-center …
P Chen, Z Yang, P Ning, H Yuan, Z Qi, Q Li, H Yu - 2024 - researchsquare.com
Background To develop and validate a computed tomography (CT) image-based deep
learning radiomics model (DLRAD) for preoperative prediction of MVI in ICC patients, and to …
learning radiomics model (DLRAD) for preoperative prediction of MVI in ICC patients, and to …