Background Radiomics and radiogenomics are two words that recur often in language of
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …

The assessment of nodal involvement in patients with rectal cancer (RC) is fundamental in
disease management. Magnetic Resonance Imaging (MRI) is routinely used for local and …

Background Structured reporting (SR) in radiology is becoming increasingly necessary and
has been recognized recently by major scientific societies. This study aims to build …

Simple Summary Magnetic Resonance Imaging (MRI) is a consolidated imaging tool for the
multiparametric assessment of tissues in various pathologies from degenerative and …

This study reviews the recent progress of machine learning for the early diagnosis of thyroid
disease. Based on the results of this review, different machine learning methods would be …

Purpose to evaluate the diagnostic performance of radiomics in lymph node metastasis
(LNM) prediction in patients with papillary thyroid carcinoma (PTC) through a systematic …

The use of artificial intelligence approaches in health-care systems has grown rapidly over
the last few years. In this context, early detection of diseases is the most common area of …

To assess Radiomics and Machine Learning Analysis in Liver Colon and Rectal Cancer
Metastases (CRLM) Growth Pattern, we evaluated, retrospectively, a training set of 51 …

Objectives A radiomics-based explainable eXtreme Gradient Boosting (XGBoost) model was
developed to predict central cervical lymph node metastasis (CCLNM) in patients with …

The main therapeutic options for colorectal cancer are surgical resection and adjuvant
chemotherapy in non-metastatic disease. However, the evaluation of the overall adjuvant …