ArticleMultimedia tools and applications2011
SHIRAZ: an automated histology image annotation system for zebrafish phenomics.
Article in Multimedia tools and applications, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- Whole-Organism Cellular Pathology: A Systems Approach to Phenomics.Advances in genetics · 2016Review
- GRAPHIE: graph based histology image explorer.BMC bioinformatics · 2015Article
- Mutagenesis and phenotyping resources in zebrafish for studying development and human disease.Briefings in functional genomics · 2014Review
- Making Models Work: Library Annotation through Phenoclustering.Drug discovery today. Disease models · 2013Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Histological characterization is used in clinical and research contexts as a highly sensitive method for detecting the morphological features of disease and abnormal gene function. Histology has recently been accepted as a phenotyping method for the forthcoming Zebrafish Phenome Project, a large-scale community effort to characterize the morphological, physiological, and behavioral phenotypes resulting from the mutations in all known genes in the zebrafish genome. In support of this project, we present a novel content-based image retrieval system for the automated annotation of images containing histological abnormalities in the developing eye of the larval zebrafish.
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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.