Automated machine learning (AutoML) has been recognized as a powerful tool to build a
system that automates the design and optimizes the model selection machine learning (ML) …

With modern management of primary liver cancer shifting towards non-invasive diagnostics,
accurate tumor classification on medical imaging is increasingly critical for disease …

Hepatocellular carcinoma (HCC) is considered as a complex liver disease and ranked as
the eighth-highest mortality rate with a prevalence of 2.4% in Malaysia. Magnetic resonance …

Cervical cancer is the most common cancer and ranked as 4th in morbidity and mortality
among Malaysian women. Currently, Magnetic Resonance Imaging (MRI) is considered as …

Hintergrund Die Bedeutung von Künstlicher Intelligenz nimmt in der Radiologie stetig zu.
Doch gerade bei neuen und leistungsfähigen Verfahren, vor allem aus dem Bereich des …

Radiomics is the process of extracting useful quantitative features of high-dimensional data
that allows for automated disease classification, including atherosclerotic disease. Hence …

Atherosclerosis is known as the leading factor in heart disease with the highest mortality rate
among the Malaysian population. Usually, the gold standard for diagnosing atherosclerosis …

The aim of this systematic review and meta-analysis is to evaluate the performance of
classification metrics of machine learning-driven radiomics in diagnosing hepatocellular …

The diffusion-weighted imaging (DWI) technique is known for its capability to differentiate the
diffusion of water molecules between cancerous and non-cancerous cervix tissues, which …

La modélisation des résultats peut caractériser le comportement d'une réponse tissulaire à
un traitement qui est basé sur des données multi-omiques spécifiques au patient (par ex …