Digital pathology and computational image analysis in nephropathology
The emergence of digital pathology—an image-based environment for the acquisition,
management and interpretation of pathology information supported by computational …
management and interpretation of pathology information supported by computational …
Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review
Background Transplant nephropathology is a highly specialized field of pathology
comprising both the evaluation of organ donor biopsy for organ allocation and post …
comprising both the evaluation of organ donor biopsy for organ allocation and post …
[HTML][HTML] Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
The application of deep learning for automated segmentation (delineation of boundaries) of
histologic primitives (structures) from whole slide images can facilitate the establishment of …
histologic primitives (structures) from whole slide images can facilitate the establishment of …
Glomerulosclerosis identification in whole slide images using semantic segmentation
Abstract Background and Objective: Glomeruli identification, ie, detection and
characterization, is a key procedure in many nephropathology studies. In this paper …
characterization, is a key procedure in many nephropathology studies. In this paper …
Vascular smooth muscle cell dysfunction in neurodegeneration
Vascular smooth muscle cells (VSMCs) are the key moderators of cerebrovascular dynamics
in response to the brain's oxygen and nutrient demands. Crucially, VSMCs may provide a …
in response to the brain's oxygen and nutrient demands. Crucially, VSMCs may provide a …
Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach
Background Automated classification of glomerular pathological findings is potentially
beneficial in establishing an efficient and objective diagnosis in renal pathology. While …
beneficial in establishing an efficient and objective diagnosis in renal pathology. While …
Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning
Identification of glomerular lesions and structures is a key point for pathological diagnosis,
treatment instructions, and prognosis evaluation in kidney diseases. These time‐consuming …
treatment instructions, and prognosis evaluation in kidney diseases. These time‐consuming …
Circle representation for medical object detection
Box representation has been extensively used for object detection in computer vision. Such
representation is efficacious but not necessarily optimized for biomedical objects (eg …
representation is efficacious but not necessarily optimized for biomedical objects (eg …
AI applications in renal pathology
The explosive growth of artificial intelligence (AI) technologies, especially deep learning
methods, has been translated at revolutionary speed to efforts in AI-assisted healthcare …
methods, has been translated at revolutionary speed to efforts in AI-assisted healthcare …
Generative adversarial networks for facilitating stain-independent supervised and unsupervised segmentation: a study on kidney histology
A major challenge in the field of segmentation in digital pathology is given by the high effort
for manual data annotations in combination with many sources introducing variability in the …
for manual data annotations in combination with many sources introducing variability in the …