Shearlet Transform Applied to a Prostate Cancer Radiomics Analysis on MR Images

R Corso, A Stefano, G Salvaggio, A Comelli - Mathematics, 2024 - mdpi.com
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 …

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 …

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 …

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 …

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 …