[HTML][HTML] Artificial intelligence-assisted renal pathology: advances and prospects

Y Wang, Q Wen, L Jin, W Chen - Journal of Clinical Medicine, 2022 - mdpi.com
Digital imaging and advanced microscopy play a pivotal role in the diagnosis of kidney
diseases. In recent years, great achievements have been made in digital imaging, providing …

[HTML][HTML] How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

RD Bülow, D Dimitrov, P Boor… - Seminars in …, 2021 - Springer
IgA nephropathy (IgAN) is the most common glomerulonephritis. It is characterized by the
deposition of immune complexes containing immunoglobulin A (IgA) in the kidney's …

Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning

C Zeng, Y Nan, F Xu, Q Lei, F Li, T Chen… - The Journal of …, 2020 - Wiley Online Library
Identification of glomerular lesions and structures is a key point for pathological diagnosis,
treatment instructions, and prognosis evaluation in kidney diseases. These time‐consuming …

Prediction of chronic kidney disease using adaptive hybridized deep convolutional neural network on the internet of medical things platform

G Chen, C Ding, Y Li, X Hu, X Li, L Ren, X Ding… - IEEE …, 2020 - ieeexplore.ieee.org
Chronic Kidney disease is a severe lifelong condition caused either by renal disease or by
impaired functions of the kidneys. In the present area of research, Kidney cancer is one of …

[HTML][HTML] Kidney cancer prediction empowered with blockchain security using transfer learning

MU Nasir, M Zubair, TM Ghazal, MF Khan, M Ahmad… - Sensors, 2022 - mdpi.com
Kidney cancer is a very dangerous and lethal cancerous disease caused by kidney tumors
or by genetic renal disease, and very few patients survive because there is no method for …

[HTML][HTML] A deep learning-based approach for glomeruli instance segmentation from multistained renal biopsy pathologic images

L Jiang, W Chen, B Dong, K Mei, C Zhu, J Liu… - The American Journal of …, 2021 - Elsevier
Glomeruli instance segmentation from pathologic images is a fundamental step in the
automatic analysis of renal biopsies. Glomerular histologic manifestations vary widely …

[HTML][HTML] Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules

S Hara, E Haneda, M Kawakami, K Morita, R Nishioka… - PloS one, 2022 - journals.plos.org
Renal pathology is essential for diagnosing and assessing the severity and prognosis of
kidney diseases. Deep learning-based approaches have developed rapidly and have been …

[HTML][HTML] Detection and classification of kidney disease using convolutional neural networks

SA Hannan, P Pal - J Neurol Neurorehab Res, 2023 - researchgate.net
Recently, Support Vector Machines (SVMs) have been suggested as an additional
technique for design identification. In this study, a face detection framework with demeanor …

[HTML][HTML] Artificial intelligence in renal pathology: current status and future

C Feng, F Liu - Biomolecules and Biomedicine, 2023 - ncbi.nlm.nih.gov
Renal biopsy pathology is an essential gold standard for the diagnosis of most kidney
diseases. With the increase in the incidence rate of kidney diseases, the lack of renal …

Artificial intelligence in glomerular diseases

FP Schena, R Magistroni, F Narducci, DI Abbrescia… - Pediatric …, 2022 - Springer
In this narrative review, we focus on the application of artificial intelligence in the clinical
history of patients with glomerular disease, digital pathology in kidney biopsy, renal …