ArticleJournal of medical imaging (Bellingham, Wash.)2022
Glo-In-One: holistic glomerular detection, segmentation, and lesion characterization with large-scale web image mining.
Article in Journal of medical imaging (Bellingham, Wash.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions.Journal of nephrology · 2024Pooled it
- GloPath: An Entity-Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Quantitative benchmarking of anomaly detection methods in digital pathology images.Machine Learning. Health · 2025Article
- Glo-In-One-v2: holistic identification of glomerular cells, tissues, and lesions in human and mouse histopathology.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Fine-grained multiclass nuclei segmentation with molecular empowered all-in-SAM model.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Self-Supervised Learning for Feature Extraction from Glomerular Images and Disease Classification with Minimal Annotations.Journal of the American Society of Nephrology : JASN · 2025Article
- GlomSAM: Hybrid customized SAM for multi-glomerular detection and segmentation in immunofluorescence images.PloS one · 2025Article
- An image inpainting-based data augmentation method for improved sclerosed glomerular identification performance with the segmentation model EfficientNetB3-Unet.Scientific reports · 2024Article
- Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Special Section Guest Editorial: Advances in High-Dimensional Medical Image Processing.Journal of medical imaging (Bellingham, Wash.) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.