Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …

Chronic kidney disease (CKD) causes irreversible damage to kidney structure and function.
Arising from various etiologies, risk factors for CKD include hypertension and diabetes. With …

Urinary disease is a complex healthcare issue that continues to grow in prevalence. Urine
tests have proven valuable in identifying conditions such as kidney disease, urinary tract …

Introduction Cancer happening rates in humankind are gradually rising due to a variety of
reasons, and sensible detection and management are essential to decrease the disease …

With the emergence of big data and the interest in deriving valuable insights from ever‐
growing and ever‐changing streams of data, machine learning has appeared as an effective …

Background Diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) can provide
quantitative parameters that show promise for evaluation of diabetic kidney disease (DKD) …

Background Rectal toxicity is one of the common side effects after radiotherapy in prostate
cancer patients. Radiomics is a non-invasive and low-cost method for developing models of …

The spine is one of the most important structures in the human body, serving to support the
body, organs, protect nerves, etc. Medical image segmentation for the spine can help …

The extraction of quantitative medical imaging features, or radiomics, has been an
exponentially growing research field in recent decades. Nonetheless, more studies are …

Henoch-Schönlein purpura nephritis (HSPN) is one of the most common kidney diseases in
children. The current diagnosis and classification of HSPN depend on pathological biopsy …