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
I Girolami, L Pantanowitz, S Marletta, M Hermsen… - Journal of …, 2022 - Springer
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 …
Deep learning–based segmentation and quantification in experimental kidney histopathology
N Bouteldja, BM Klinkhammer, RD Bülow… - Journal of the …, 2021 - journals.lww.com
Background Nephropathologic analyses provide important outcomes-related data in
experiments with the animal models that are essential for understanding kidney disease …
experiments with the animal models that are essential for understanding kidney disease …
Renal pathology images segmentation based on improved cuckoo search with diffusion mechanism and adaptive beta-hill climbing
J Chen, Z Cai, H Chen, X Chen… - Journal of Bionic …, 2023 - Springer
Lupus Nephritis (LN) is a significant risk factor for morbidity and mortality in systemic lupus
erythematosus, and nephropathology is still the gold standard for diagnosing LN. To assist …
erythematosus, and nephropathology is still the gold standard for diagnosing LN. To assist …
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 …
New aspects of kidney fibrosis–from mechanisms of injury to modulation of disease
Organ fibrogenesis is characterized by a common pathophysiological final pathway
independent of the underlying progressive disease of the respective organ. This makes it …
independent of the underlying progressive disease of the respective organ. This makes it …
Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators
Diagnosis of diabetic kidney disease (DKD) mainly relies on screening the morphological
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …
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 …
Artificial Intelligence Assists in the Detection of Blood Vessels in Whole Slide Images: Practical Benefits for Oncological Pathology
A Timakova, V Ananev, A Fayzullin, V Makarov… - Biomolecules, 2023 - mdpi.com
The analysis of the microvasculature and the assessment of angiogenesis have significant
prognostic value in various diseases, including cancer. The search for invasion into the …
prognostic value in various diseases, including cancer. The search for invasion into the …