The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly develo** and …

Medical imaging techniques, such as mammography, ultrasound and magnetic resonance
imaging, plays an integral role in the detection and characterization of breast cancer …

In breast cancer patients, an accurate detection of the axillary lymph node metastasis status
is essential for reducing distant metastasis occurrence probabilities. In case of patients …

Background Multiparametric magnetic resonance imaging (MRI) is widely used in breast
cancer screening. Accurate prediction of the axillary lymph nodes metastasis (ALNM) is …

To investigate whether peritumoral edema (PE) could enhance deep learning radiomic
(DLR) model in predicting axillary lymph node metastasis (ALNM) burden in breast cancer …

Background This study aimed to perform a meta‐analysis to evaluate the diagnostic
performance of radiomics in predicting axillary lymph node metastasis (ALNM) and sentinel …

Simple Summary Breast cancer represents the most frequent cancer in women in the world.
The state of the axillary lymph node is considered an independent prognostic factor and is …

Simple Summary Breast cancer is the most common cancer in women worldwide. Currently
the use of MR is mandatory in staging phase. The standard protocol includes T2-weighted …

Breast Cancer (BC) is the most common cancer among women worldwide and is
characterized by intra-and inter-tumor heterogeneity that strongly contributes towards its …

Background To construct clinical and machine learning nomogram for predicting the lymph
node metastasis (LNM) status of rectal carcinoma (RC) based on radiomics and clinical …