ReviewFrontiers in physiology2022
User-Accessible Machine Learning Approaches for Cell Segmentation and Analysis in Tissue.
Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Decreased parietal epithelial cell density is linked to podocyte depletion and predictors of kidney disease progression in human kidneys.American journal of physiology. Renal physiology · 2025Article
- Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images.Scientific reports · 2025Article
- Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images.bioRxiv : the preprint server for biology · 2024Article
- Software Tools for 2D Cell Segmentation.Cells · 2024Review
- Artificial intelligence and machine learning applications for cultured meat.Frontiers in artificial intelligence · 2024Review
- Quantitative analysis of trabecular bone tissue cryosections via a fully automated neural network-based approach.PloS one · 2024Article
- NISNet3D: three-dimensional nuclear synthesis and instance segmentation for fluorescence microscopy images.Scientific reports · 2023Article
- High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury.Scientific reports · 2023Article
- YOUPI: Your powerful and intelligent tool for segmenting cells from imaging mass cytometry data.Frontiers in immunology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advanced image analysis with machine and deep learning has improved cell segmentation and classification for novel insights into biological mechanisms. These approaches have been used for the analysis of cells
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.