title: TissueWikiMobile: an Integrative Protein Expression Image Browser for Pathological Knowledge Sharing and Annotation on a Mobile Device.
abstract: Doctors need fast and convenient access to medical data. This motivates the use of mobile devices for knowledge retrieval and sharing. We have developed TissueWikiMobileon the Apple iPhone and iPad to seamlessly access TissueWiki, an enormous repository of medical histology images. TissueWiki is a three terabyte database of antibody information and histology images from the Human Protein Atlas (HPA). Using TissueWikiMobile, users are capable of extracting knowledge from protein expression, adding annotations to highlight regions of interest on images, and sharing their professional insight. By providing an intuitive human computer interface, users can efficiently operate TissueWikiMobileto access important biomedical data without losing mobility. TissueWikiMobilefurnishes the health community a ubiquitous way to collaborate and share their expert opinions not only on the performance of various antibodies stains but also on histology image annotation.
authors.affiliation: Electrical and Computer Engineering, Georgia Institute of Technology.
authors.forename: Chihwen
authors.initials: C
authors.lastname: Cheng
authors.affiliation: Biomedical Engineering, Georgia Institute of Technology.
authors.forename: Todd H
authors.initials: TH
authors.lastname: Stokes
authors.affiliation: Biomedical Engineering, Georgia Institute of Technology.
authors.forename: Sovandy
authors.initials: S
authors.lastname: Hang
authors.affiliation: Electrical and Computer Engineering, Georgia Institute of Technology; Biomedical Engineering, Georgia Institute of Technology.
authors.forename: May D
authors.initials: MD
authors.lastname: Wang
keywords: histological image; image annotation; knowledge sharing; mobile medical device