PUBLICATION
SHIRAZ: an automated histology image annotation system for zebrafish phenomics
- Authors
- Canada, B.A., Thomas, G.K., Cheng, K.C., and Wang, J.Z.
- ID
- ZDB-PUB-110503-9
- Date
- 2011
- Source
- Multimedia Tools and Applications 51(2): 401-440 (Journal)
- Registered Authors
- Cheng, Keith C., Thomas, Georgia
- Keywords
- automatic image annotation, high-throughput phenotyping, information-based similarity metrics, computational symmetry
- MeSH Terms
- none
- PubMed
- 21461317 Full text @ Multimed. Tools Appl.
Citation
Canada, B.A., Thomas, G.K., Cheng, K.C., and Wang, J.Z. (2011) SHIRAZ: an automated histology image annotation system for zebrafish phenomics. Multimedia Tools and Applications. 51(2):401-440.
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.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping