Research Data Leeds Repository

The Design and Evaluation of Interfaces for Navigating Gigapixel Images in Digital Pathology

Citation

Ruddle, Roy and Thomas, Rhys G. and Randell, Rebecca and Quirke, Philip and Treanor, Darren (2015) The Design and Evaluation of Interfaces for Navigating Gigapixel Images in Digital Pathology. University of Leeds. [Dataset] https://doi.org/10.5518/17¹

This item is part of the Leeds Virtual Microscope² collection.

Dataset description

These datasets are from evaluations of the Leeds Virtual Microscope that involved pathologists making diagnoses of cancer. The data range from virtual slides to objective and subjective data provided by participants in the studies.

Keywords:	Design, Evaluation, Empirical studies, Gigapixel images, Navigation, Pathology, Overview+detail, Zoomable user interface
Subjects:	I000 - Computer sciences > I100 - Computer science > I140 - Human-computer interaction3
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing4
Related resources:	Location Type https://doi.org/10.1145/28341175 Publication https://eprints.whiterose.ac.uk/91558/6 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	25 Nov 2015 18:41
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/187
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Ruddle, Roy https://orcid.org/0000-0001-8662-81038 University of Leeds https://ror.org/024mrxd33 ror Thomas, Rhys G. University of Leeds https://ror.org/024mrxd33 ror Randell, Rebecca https://orcid.org/0000-0002-5856-49129 University of Leeds https://ror.org/024mrxd33 ror Quirke, Philip https://orcid.org/0000-0002-3597-544410 University of Leeds https://ror.org/024mrxd33 ror Treanor, Darren https://orcid.org/0000-0002-4579-484X11 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Medical Research Council, Engineering and Physical Sciences Research Council, Engineering and Physical Sciences Research Council, National Institute for Health Research Grant numbers: MR/L01629X/1, EP/K503836/1, EP/J017620/1, NEAT L004 Publication date: 2015 Resource language: English Metadata language: English Research project title: Infrastructure for collaboration: Leeds MRC Medical Bioinformatics Centre, Impact Acceleration Account - University of Leeds 2012, Innovation and Knowledge Centre Regenerative Therapies and Devices Tranche 2 IKC RTD, A virtual reality microscope for diagnostic pathology Publisher: University of Leeds Contact email: R.A.Ruddle@leeds.ac.uk12 Last Modified: 22 Aug 2024 14:48

Files

Documentation

Details of meta-actions for individual images [1kB] 13 Details of meta-actions for individual images [1kB] 14 Details of meta-actions for individual images [1kB] 15 Security: Anyone File name: IndividualGigapixelImages-readme.txt16 Content type: Documentation Mime-Type: text/plain File size: 1kB

Details of meta-actions for image collections [1kB] 17 Details of meta-actions for image collections [1kB] 18 Details of meta-actions for image collections [1kB] 19 Security: Anyone File name: GigapixelImageCollections-readme.txt20 Content type: Documentation Mime-Type: text/plain File size: 1kB

Data

Details of meta-actions for individual images [382kB] 21 Details of meta-actions for individual images [382kB] 22 Details of meta-actions for individual images [382kB] 23 Security: Anyone File name: IndividualGigapixelImages-data.txt24 Content type: Data Mime-Type: text/plain File size: 382kB

Details of meta-actions for image collections [356kB] 25 Details of meta-actions for image collections [356kB] 26 Details of meta-actions for image collections [356kB] 27 Security: Anyone File name: GigapixelImageCollections-data.txt28 Content type: Data Mime-Type: text/plain File size: 356kB

• 1. https://doi.org/10.5518/17
• 2. /view/collections/Leeds_Virtual_Microscope.html
• 3. https://archive.researchdata.leeds.ac.uk/view/subjects/I140.html
• 4. https://archive.researchdata.leeds.ac.uk/view/divisions/SC/
• 5. https://doi.org/10.1145/2834117
• 6. https://eprints.whiterose.ac.uk/91558/
• 7. https://archive.researchdata.leeds.ac.uk/id/eprint/18
• 8. https://orcid.org/0000-0001-8662-8103
• 9. https://orcid.org/0000-0002-5856-4912
• 10. https://orcid.org/0000-0002-3597-5444
• 11. https://orcid.org/0000-0002-4579-484X
• 12. mailto:R.A.Ruddle@leeds.ac.uk
• 13. https://archive.researchdata.leeds.ac.uk/18/1/IndividualGigapixelImages-readme.txt
• 14. https://archive.researchdata.leeds.ac.uk/18/1/IndividualGigapixelImages-readme.txt
• 15. https://archive.researchdata.leeds.ac.uk/18/1/IndividualGigapixelImages-readme.txt
• 16. https://archive.researchdata.leeds.ac.uk/18/1/IndividualGigapixelImages-readme.txt
• 17. https://archive.researchdata.leeds.ac.uk/18/3/GigapixelImageCollections-readme.txt
• 18. https://archive.researchdata.leeds.ac.uk/18/3/GigapixelImageCollections-readme.txt
• 19. https://archive.researchdata.leeds.ac.uk/18/3/GigapixelImageCollections-readme.txt
• 20. https://archive.researchdata.leeds.ac.uk/18/3/GigapixelImageCollections-readme.txt
• 21. https://archive.researchdata.leeds.ac.uk/18/2/IndividualGigapixelImages-data.txt
• 22. https://archive.researchdata.leeds.ac.uk/18/2/IndividualGigapixelImages-data.txt
• 23. https://archive.researchdata.leeds.ac.uk/18/2/IndividualGigapixelImages-data.txt
• 24. https://archive.researchdata.leeds.ac.uk/18/2/IndividualGigapixelImages-data.txt
• 25. https://archive.researchdata.leeds.ac.uk/18/4/GigapixelImageCollections-data.txt
• 26. https://archive.researchdata.leeds.ac.uk/18/4/GigapixelImageCollections-data.txt
• 27. https://archive.researchdata.leeds.ac.uk/18/4/GigapixelImageCollections-data.txt
• 28. https://archive.researchdata.leeds.ac.uk/18/4/GigapixelImageCollections-data.txt