Radiomics is a relatively new word for the field of radiology, meaning the extraction of a high
number of quantitative features from medical images. Artificial intelligence (AI) is broadly a …

Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …

In radiomics studies, researchers usually need to develop a supervised machine learning
model to map image features onto the clinical conclusion. A classical machine learning …

Background Due to the class imbalance issue faced when Alzheimer's disease (AD)
develops from normal cognition (NC) to mild cognitive impairment (MCI), present clinical …

Due to the upfront role of magnetic resonance imaging (MRI) for prostate cancer (PCa)
diagnosis, a multitude of artificial intelligence (AI) applications have been suggested to aid …

Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …

Radiomics and genomics represent two of the most promising fields of cancer research,
designed to improve the risk stratification and disease management of patients with prostate …

Background Radiomics have the potential to further increase the value of MRI in prostate
cancer management. However, implementation in clinical practice is still far and concerns …

Purpose We aimed to propose a highly automatic and objective model named deep learning
Radiomics of thyroid (DLRT) for the differential diagnosis of benign and malignant thyroid …