Beyond 2D: a scalable and highly sensitive method for a comprehensive 3D analysis of kidney biopsy tissue

H Yamada, S Makino, I Okunaga, T Miyake… - PNAS …, 2024 - academic.oup.com
The spatial organization of various cell populations is critical for the major physiological and
pathological processes in the kidneys. Most evaluation of these processes typically comes …

Identifying and matching 12‐level multistained glomeruli via deep learning for diagnosis of glomerular diseases

Q He, S Zeng, S Ge, Y Wang, J Ye, Y He… - … Journal of Imaging …, 2024 - Wiley Online Library
The assessment of glomerular lesions is a fundamental step toward the diagnosis of
glomerular diseases. This requires diagnosis and fusion of information from all the glomeruli …

Hybrid Traffic Accident Classification Models

Y Zhang, Y Sung - Mathematics, 2023 - mdpi.com
Traffic closed-circuit television (CCTV) devices can be used to detect and track objects on
roads by designing and applying artificial intelligence and deep learning models. However …

An end-to-end pipeline for 3D slide-wise multi-stain renal pathology registration

P Li, R Deng, Y Huo - Medical Imaging 2023: Digital and …, 2023 - spiedigitallibrary.org
Tissue examination and quantification in a 3D context on serial section whole slide images
(WSIs) were labor-intensive and time-consuming tasks. Our previous study proposed a …