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 …
Extracellular matrix in kidney fibrosis: more than just a scaffold
Kidney fibrosis is the common histological end-point of progressive, chronic kidney diseases
(CKDs) regardless of the underlying etiology. The hallmark of renal fibrosis, similar to all …
(CKDs) regardless of the underlying etiology. The hallmark of renal fibrosis, similar to all …
[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 …
Kidney fibrosis: Emerging diagnostic and therapeutic strategies
BM Klinkhammer, P Boor - Molecular Aspects of Medicine, 2023 - Elsevier
An increasing number of patients worldwide suffers from chronic kidney disease (CKD).
CKD is accompanied by kidney fibrosis, which affects all compartments of the kidney, ie, the …
CKD is accompanied by kidney fibrosis, which affects all compartments of the kidney, ie, the …
[图书][B] Heptinstall's Pathology of the Kidney
JC Jennette, VD D'Agati - 2023 - books.google.com
For nearly 60 years, Heptinstall's Pathology of the Kidney has been the reference of choice
for both pathologists and nephrologists for expert, authoritative coverage of kidney disease …
for both pathologists and nephrologists for expert, authoritative coverage of kidney disease …
[HTML][HTML] Dissecting the business case for adoption and implementation of digital pathology: a white paper from the digital pathology association
G Lujan, JC Quigley, D Hartman, A Parwani… - Journal of Pathology …, 2021 - Elsevier
We believe the switch to a digital pathology (DP) workflow is imminent and it is essential to
understand the economic implications of conversion. Many aspects of the adoption of DP …
understand the economic implications of conversion. Many aspects of the adoption of DP …
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 …
Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease
Pathologists use visual classification to assess patient kidney biopsy samples when
diagnosing the underlying cause of kidney disease. However, the assessment is qualitative …
diagnosing the underlying cause of kidney disease. However, the assessment is qualitative …
CureGN study rationale, design, and methods: establishing a large prospective observational study of glomerular disease
LH Mariani, AS Bomback, PA Canetta… - American journal of …, 2019 - Elsevier
Rationale & Objectives Glomerular diseases, including minimal change disease, focal
segmental glomerulosclerosis, membranous nephropathy, and immunoglobulin A (IgA) …
segmental glomerulosclerosis, membranous nephropathy, and immunoglobulin A (IgA) …
Towards the augmented pathologist: Challenges of explainable-ai in digital pathology
Digital pathology is not only one of the most promising fields of diagnostic medicine, but at
the same time a hot topic for fundamental research. Digital pathology is not just the transfer …
the same time a hot topic for fundamental research. Digital pathology is not just the transfer …