ArticleJournal of medical systems2020
Correction to: Urine Sediment Recognition Method Based on Multi-View Deep Residual Learning in Microscopic Image.
Article in Journal of medical systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Artificial-intelligence-based feature mapping of native oxygenation-sensitive cardiovascular magnetic resonance images for classifying cardiomyopathies.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026Article
- Artificial Intelligence in Spine and Paraspinal Muscle Analysis.Advances in experimental medicine and biology · 2024Review
- Synchrotron X-ray biosample imaging: opportunities and challenges.Biophysical reviews · 2022Article
Corrections and comments
- Erratum for
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the original version of this article, the authors' units in the affiliation section are, unfortunately, incorrect. Jining No.1 people's hospital and Affiliated Hospital of Jining Medical University are two independent units and should not have been combined into one affiliation.
Identifiers
32166560What 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.