Artificial intelligence-assisted renal pathology: advances and prospects
Y Wang, Q Wen, L **, 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 …
diseases. In recent years, great achievements have been made in digital imaging, providing …
Dropconnect is effective in modeling uncertainty of bayesian deep networks
Deep neural networks (DNNs) have achieved state-of-the-art performance in many
important domains, including medical diagnosis, security, and autonomous driving. In …
important domains, including medical diagnosis, security, and autonomous driving. In …
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 …
Recent advances in the use of machine learning and artificial intelligence to improve diagnosis, predict flares, and enrich clinical trials in lupus
Recent advances in the use of machine learning and artificia... : Current Opinion in
Rheumatology Recent advances in the use of machine learning and artificial intelligence to …
Rheumatology Recent advances in the use of machine learning and artificial intelligence to …
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis
Parapneumonic effusion (PPE) is a common condition that causes death in patients
hospitalized with pneumonia. Rapid distinction of complicated PPE (CPPE) from …
hospitalized with pneumonia. Rapid distinction of complicated PPE (CPPE) from …
Deep learning-based artificial intelligence system for automatic assessment of glomerular pathological findings in lupus nephritis
Z Zheng, X Zhang, J Ding, D Zhang, J Cui, X Fu, J Han… - Diagnostics, 2021 - mdpi.com
Accurate assessment of renal histopathology is crucial for the clinical management of
patients with lupus nephritis (LN). However, the current classification system has poor …
patients with lupus nephritis (LN). However, the current classification system has poor …
Robust motor imagery tasks classification approach using Bayesian neural network
D Milanés-Hermosilla, R Trujillo-Codorniú… - Sensors, 2023 - mdpi.com
The development of Brain–Computer Interfaces based on Motor Imagery (MI) tasks is a
relevant research topic worldwide. The design of accurate and reliable BCI systems remains …
relevant research topic worldwide. The design of accurate and reliable BCI systems remains …
Multi-threshold image segmentation using new strategies enhanced whale optimization for lupus nephritis pathological images
J Shi, Y Chen, C Wang, AA Heidari, L Liu, H Chen… - Displays, 2024 - Elsevier
Lupus Nephritis (LN) has been considered as the most prevalent form of systemic lupus
erythematosus. Medical imaging plays an important role in diagnosing and treating LN …
erythematosus. Medical imaging plays an important role in diagnosing and treating LN …
Systemic Lupus Erythematosus: How Machine Learning Can Help Distinguish between Infections and Flares
I Usategui, Y Arroyo, AM Torres, J Barbado, J Mateo - Bioengineering, 2024 - mdpi.com
Systemic Lupus Erythematosus (SLE) is a multifaceted autoimmune ailment that impacts
multiple bodily systems and manifests with varied clinical manifestations. Early detection is …
multiple bodily systems and manifests with varied clinical manifestations. Early detection is …
RETRACTED ARTICLE: MPCITL: design of an efficient multimodal engine for Pre-emptive identification of CKD via incremental transfer learning on clinical data …
Abstract Chronic Kidney Disease (CKD) can be identified via MRI (Magnetic Resonance
Imaging) Scans, CT (Computerized Tomography) Scans, and clinical parameters including …
Imaging) Scans, CT (Computerized Tomography) Scans, and clinical parameters including …