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 …
[HTML][HTML] Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey
Digital pathology technologies, including whole slide imaging (WSI), have significantly
improved modern clinical practices by facilitating storing, viewing, processing, and sharing …
improved modern clinical practices by facilitating storing, viewing, processing, and sharing …
A deep learning instance segmentation approach for global glomerulosclerosis assessment in donor kidney biopsies
The histological assessment of glomeruli is fundamental for determining if a kidney is
suitable for transplantation. The Karpinski score is essential to evaluate the need for a single …
suitable for transplantation. The Karpinski score is essential to evaluate the need for a single …
Boundary-aware glomerulus segmentation: toward one-to-many stain generalization
The growing availability of scanned whole-slide images (WSIs) has allowed
nephropathology to open new possibilities for medical decision-making over high-resolution …
nephropathology to open new possibilities for medical decision-making over high-resolution …
[HTML][HTML] Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy
Abstract Background and Objective The Oxford Classification for IgA nephropathy is the
most successful example of an evidence-based nephropathology classification system. The …
most successful example of an evidence-based nephropathology classification system. The …
Glo-In-One: holistic glomerular detection, segmentation, and lesion characterization with large-scale web image mining
Purpose: The quantitative detection, segmentation, and characterization of glomeruli from
high-resolution whole slide imaging (WSI) play essential roles in the computer-assisted …
high-resolution whole slide imaging (WSI) play essential roles in the computer-assisted …
Segment-then-segment: context-preserving crop-based segmentation for large biomedical images
Medical images are often of huge size, which presents a challenge in terms of memory
requirements when training machine learning models. Commonly, the images are …
requirements when training machine learning models. Commonly, the images are …
Sex Differences in Glomerular Lesions, in Atherosclerosis Progression, and in the Response to Angiotensin-Converting Enzyme Inhibitors in the ApoE−/− Mice Model
A Mallén, R Rodriguez-Urquia, R Alvarez… - International Journal of …, 2023 - mdpi.com
This study analyzes sex-based differences in renal structure and the response to the
Angiotensin-Converting Enzyme (ACE) inhibitor enalapril in a mouse model of …
Angiotensin-Converting Enzyme (ACE) inhibitor enalapril in a mouse model of …
Efficient perineural invasion detection of histopathological images using U-Net
Y Park, J Park, GJ Jang - Electronics, 2022 - mdpi.com
Perineural invasion (PNI), a sign of poor diagnosis and tumor metastasis, is common in a
variety of malignant tumors. The infiltrating patterns and morphologies of tumors vary by …
variety of malignant tumors. The infiltrating patterns and morphologies of tumors vary by …
VB-SOLO: single-stage instance segmentation of overlap** epithelial cells
L Li, W Chen, J Qi - IEEE Access, 2024 - ieeexplore.ieee.org
The instance segmentation of overlap** cells in smear images of epithelial cells is
challenging due to the significant overlap and adhesion between the cells' translucent …
challenging due to the significant overlap and adhesion between the cells' translucent …