Glomerulonephritis (GN) is a severe kidney disorder in which the tissues in the kidney
become inflamed and have problems filtering waste from the blood. Typical approaches for …

Box representation has been extensively used for object detection in computer vision. Such
representation is efficacious but not necessarily optimized for biomedical objects (eg …

Purpose: Recent advances in computational image analysis offer the opportunity to develop
automatic quantification of histologic parameters as aid tools for practicing pathologists. We …

Cytology inspection is a basic examination for the prevention of cervical cancer, which is still
done manually and is a labor-intensive and time-consuming process with high inter …

Circle representation has recently been introduced as a “medical imaging optimized"
representation for more effective instance object detection on ball-shaped medical objects …

The minimal change disease (MCD) and glomerulosclerosis (GS) are two common kidney
diseases. Unless adequately treated, these diseases leads to chronic kidney diseases …

Recent advancements in computer vision within the field of artificial intelligence (AI) have
made significant inroads into the medical domain. However, the application of AI for …

Purpose In pathology images, different stains highlight different glomerular structures, so a
supervised deep learning-based glomerular instance segmentation model trained on …

There has been a long pursuit for precise and reproducible glomerular quantification in the
field of renal pathology in both research and clinical practice. Currently, 3D glomerular …

The kidney is an important organ in the body to excrete metabolic waste, and the glomerulus
is an essential structure for the kidney to play a role in blood filtration. Abnormal glomerular …