[HTML][HTML] Scientific Status Quo of Small Renal Lesions: Diagnostic Assessment and Radiomics
P Trovato, I Simonetti, A Morrone, R Fusco… - Journal of Clinical …, 2024 - mdpi.com
Background: Small renal masses (SRMs) are defined as contrast-enhanced renal lesions
less than or equal to 4 cm in maximal diameter, which can be compatible with stage T1a …
less than or equal to 4 cm in maximal diameter, which can be compatible with stage T1a …
Comments on “Current status and quality of radiomic studies for predicting KRAS mutations in colorectal cancer patients: A systematic review and meta-analysis”
We read with interest the article from Dr Jia LL and colleagues in Eur J Radiol in which they
assessed the methodological quality of radiomics-based studies for non-invasive …
assessed the methodological quality of radiomics-based studies for non-invasive …
Machine learning and radiomics analysis by computed tomography in colorectal liver metastases patients for RAS mutational status prediction
Purpose To assess the efficacy of machine learning and radiomics analysis by computed
tomography (CT) in presurgical setting, to predict RAS mutational status in colorectal liver …
tomography (CT) in presurgical setting, to predict RAS mutational status in colorectal liver …
Machine learning-based radiomics analysis in predicting RAS mutational status using magnetic resonance imaging
Purpose To assess the efficacy of radiomics features, obtained by magnetic resonance
imaging (MRI) with hepatospecific contrast agent, in pre-surgical setting, to predict RAS …
imaging (MRI) with hepatospecific contrast agent, in pre-surgical setting, to predict RAS …
[HTML][HTML] Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment
Purpose: We aimed to assess the efficacy of machine learning and radiomics analysis using
magnetic resonance imaging (MRI) with a hepatospecific contrast agent, in a pre-surgical …
magnetic resonance imaging (MRI) with a hepatospecific contrast agent, in a pre-surgical …
Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection
H Liu, W Zhang, Y Zhang, AA Adegboro, L Dai, Z Pan… - bioRxiv, 2023 - biorxiv.org
With the widespread use of high-throughput sequencing technologies, understanding
biology and cancer heterogeneity has been revolutionized. Recently, several machine …
biology and cancer heterogeneity has been revolutionized. Recently, several machine …