The percent global glomerulosclerosis is a key factor in determining the outcome of renal
transfer surgery. At present, the rate is typically computed by pathologists, which is labour …

Deep learning models have exhibited exceptional effectiveness in Computational Pathology
(CPath) by tackling intricate tasks across an array of histology image analysis applications …

Automated evaluation of all glomeruli throughout the whole kidney is essential for the
comprehensive study of kidney function as well as understanding the mechanisms of kidney …

Accurate segmentation and classification of glomeruli are fundamental to histopathology
slide analysis in renal pathology, which helps to characterize individual kidney disease …

The importance of kidney biopsy, a medical procedure in which a small tissue sample is
extracted from the kidney for examination, is increasing due to the rising incidence of kidney …

The assessment of glomerular lesions is a fundamental step toward the diagnosis of
glomerular diseases. This requires diagnosis and fusion of information from all the glomeruli …

Podocyte degenerative changes are common in various kidney diseases, and their accurate
identification is crucial for pathologists to diagnose and treat such conditions. However, this …

Segmentation has long been essential in computer vision due to its numerous real-world
applications. However, most traditional deep learning and machine learning models need …

In the specialized field of renal histology, precise segmentation of glomeruli in microscopic
images is crucial for accurate clinical diagnosis and pathological analysis. Facing the …

In pathology, defining consistent criteria for disease diagnosis and prognostication requires
ever increasing effort. Nephropathology, in particular, demands greater attention to the …