In recent years, the segmentation of anatomical or pathological structures using deep
learning has experienced a widespread interest in medical image analysis. Remarkably …

Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited
cause of kidney failure, accounting for 5%-10% of cases. Predicting which patients with …

Deep Learning approaches for automatic segmentation of organs from CT scans and MRI
are providing promising results, leading towards a revolution in the radiologists' workflow …

Recent breakthroughs of deep learning algorithms in medical imaging, automated detection,
and segmentation techniques for renal (kidney) in abdominal computed tomography (CT) …

In the context of autosomal dominant polycystic kidney disease (ADPKD), measurement of
the total kidney volume (TKV) is crucial. It acts as a marker for tracking disease progression …

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 …

Organ volume measurements are a key metric for managing ADPKD (the most common
inherited renal disease). However, measuring organ volumes is tedious and involves …

Total kidney volume (TKV) is the main imaging biomarker used to monitor disease
progression and to classify patients affected by autosomal dominant polycystic kidney …

Progression of autosomal dominant polycystic kidney disease (ADPKD) is modified by
metabolic defects and obesity. Indeed, reduced food intake slows cyst growth in preclinical …

Purpose Total kidney volume (TKV) is the most important imaging biomarker for quantifying
the severity of autosomal-dominant polycystic kidney disease (ADPKD). 3D ultrasound (US) …