Ruddle, RA orcid.org/0000-0001-8662-8103, Thomas, RG, Randell, R orcid.org/0000-0002-5856-4912 et al. (2 more authors) (2016) The design and evaluation of interfaces for navigating gigapixel images in digital pathology. ACM Transactions on Computer-Human Interaction, 23 (1). 5. ISSN 1073-0516
Abstract
This paper describes the design and evaluation of two generations of an interface for navigating datasets of gigapixel images that pathologists use to diagnose cancer. The interface design is innovative because
users panned with an overview:detail view scale difference that was up to 57 times larger than established guidelines, and 1 million pixel ‘thumbnail’ overviews that leveraged the real-estate of high resolution
workstation displays. The research involved experts performing real work (pathologists diagnosing cancer), using datasets that were up to 3150 times larger than those used in previous studies that involved
navigating images. The evaluation provides evidence about the effectiveness of the interfaces, and characterizes how experts navigate gigapixel images when performing real work. Similar interfaces could
be adopted in applications that use other types of high-resolution images (e.g., remote sensing or highthroughput microscopy).
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Computer-Human Interaction, 23 (1), February 2016. http://doi.acm.org/10.1145/2834117. |
Keywords: | Human-centered computing - Empirical studies in HCI; Humancentered computing - Interaction design theory, concepts and paradigms; Human-centered computing - Visualization systems and tools; Gigapixel images, navigation, pathology, overview+detail, zoomable user interface |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Healthcare (Leeds) > Nursing Adult (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cancer and Pathology (LICAP) |
Funding Information: | Funder Grant number New & Emerging Applications of Technology Programme NEAT L004 EPSRC (Engineering and Physical Sciences Research Council) N/A (IKC) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Nov 2015 14:38 |
Last Modified: | 12 Dec 2024 11:42 |
Published Version: | http://dx.doi.org/10.1145/2834117 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Identification Number: | 10.1145/2834117 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:91558 |