File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

정원기

Jeong, Won-Ki
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.endPage 242 -
dc.citation.number 6 -
dc.citation.startPage 227 -
dc.citation.title COMPUTER GRAPHICS FORUM -
dc.citation.volume 32 -
dc.contributor.author Jeong, Won-Ki -
dc.contributor.author Schneider, J. -
dc.contributor.author Hansen, A. -
dc.contributor.author Lee, M. -
dc.contributor.author Turney, S.G. -
dc.contributor.author Faulkner-Jones, B.E. -
dc.contributor.author Hecht, J.L. -
dc.contributor.author Najarian, R. -
dc.contributor.author Yee, E. -
dc.contributor.author Lichtman, J.W. -
dc.contributor.author Pfister, H. -
dc.date.accessioned 2023-12-22T03:38:07Z -
dc.date.available 2023-12-22T03:38:07Z -
dc.date.created 2013-09-26 -
dc.date.issued 2013-09 -
dc.description.abstract Collaborative slide image viewing systems are becoming increasingly important in pathology applications such as telepathology and E-learning. Despite rapid advances in computing and imaging technology, current digital pathology systems have limited performance with respect to remote viewing of whole slide images on desktop or mobile computing devices. In this paper we present a novel digital pathology client-server system that supports collaborative viewing of multi-plane whole slide images over standard networks using multi-touch-enabled clients. Our system is built upon a standard HTTP web server and a MySQL database to allow multiple clients to exchange image and metadata concurrently. We introduce a domain-specific image-stack compression method that leverages real-time hardware decoding on mobile devices. It adaptively encodes image stacks in a decorrelated colour space to achieve extremely low bitrates (0.8 bpp) with very low loss of image quality. We evaluate the image quality of our compression method and the performance of our system for diagnosis with an in-depth user study. Collaborative slide image viewing systems are becoming increasingly important in pathology applications such as telepathology and E-learning. Despite rapid advances in computing and imaging technology, current digital pathology systems have limited performance with respect to remote viewing of whole slide images on desktop or mobile computing devices. In this paper we present a novel digital pathology client-server systems that supports collaborative viewing of multi-plane whole slide images over standard networks using multi-touch enabled clients. Our system is built upon a standard HTTP web server and a MySQL database to allow multiple clients to exchange image and metadata concurrently. -
dc.identifier.bibliographicCitation COMPUTER GRAPHICS FORUM, v.32, no.6, pp.227 - 242 -
dc.identifier.doi 10.1111/cgf.12137 -
dc.identifier.issn 0167-7055 -
dc.identifier.scopusid 2-s2.0-84884218099 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/3909 -
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84884218099 -
dc.identifier.wosid 000334853000015 -
dc.language 영어 -
dc.publisher WILEY-BLACKWELL -
dc.title A collaborative digital pathology system for multi-touch mobile and desktop computing platforms -
dc.type Article -
dc.relation.journalWebOfScienceCategory Computer Science, Software Engineering -
dc.relation.journalResearchArea Computer Science -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor biomedical image visualization -
dc.subject.keywordAuthor collaborative visualization -
dc.subject.keywordAuthor digital pathology -
dc.subject.keywordAuthor GPU -
dc.subject.keywordAuthor image compression -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.