title: SHIRAZ: an automated histology image annotation system for zebrafish phenomics.
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.
authors: Brian A
authors: BA
authors: Canada
authors: Georgia K
authors: GK
authors: Thomas
authors: Keith C
authors: KC
authors: Cheng
authors: James Z
authors: JZ
authors: Wang