research
∙
09/05/2023
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
The segmentation of kidney layer structures, including cortex, outer str...
share
research
∙
08/10/2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology
Podocytes, specialized epithelial cells that envelop the glomerular capi...
research
∙
08/10/2023
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning
Precise identification of multiple cell classes in high-resolution Giga-...
research
∙
08/10/2023
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology
When dealing with giga-pixel digital pathology in whole-slide imaging, a...
research
∙
08/10/2023
Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology
Segmentation of microvascular structures, such as arterioles, venules, a...
research
∙
05/31/2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning
Multi-class cell segmentation in high-resolution Giga-pixel whole slide ...
research
∙
05/23/2023
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level
Deep-learning techniques have been used widely to alleviate the labour-i...
research
∙
04/09/2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
The segment anything model (SAM) was released as a foundation model for ...
research
∙
11/02/2022
CircleSnake: Instance Segmentation with Circle Representation
Circle representation has recently been introduced as a medical imaging ...
research
∙
08/30/2022
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning
With the rapid development of self-supervised learning (e.g., contrastiv...
research
∙
06/27/2022
Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation
Comprehensive semantic segmentation on renal pathological images is chal...
research
∙
05/31/2022
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining
The quantitative detection, segmentation, and characterization of glomer...
research
∙
03/25/2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
The rapid development of diagnostic technologies in healthcare is leadin...
research
∙
01/31/2022
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification
Recent studies have demonstrated the diagnostic and prognostic values of...
research
∙
12/23/2021
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data
Computer-assisted quantitative analysis on Giga-pixel pathology images h...
research
∙
10/22/2021
Circle Representation for Medical Object Detection
Box representation has been extensively used for object detection in com...
research
∙
07/19/2021
Compound Figure Separation of Biomedical Images with Side Loss
Unsupervised learning algorithms (e.g., self-supervised learning, auto-e...
research
∙
03/09/2021
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Contrastive learning is a key technique of modern self-supervised learni...
research
∙
02/17/2021
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation
Reducing outcome variance is an essential task in deep learning based me...
research
∙
01/16/2021
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation
The classification of glomerular lesions is a routine and essential task...
research
∙
07/28/2020
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
Considerable morphological phenotyping studies in nephrology have emerge...
research
∙
07/07/2020
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment
Automatic instance segmentation of glomeruli within kidney Whole Slide I...
research
∙
06/10/2020
Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images
There has been a long pursuit for precise and reproducible glomerular qu...
research
∙
06/03/2020