## Abstract Navigation through large microscopic images is a potential benefit for histology or pathology teaching, for improving the quality of diagnosis in pathology, or for communicating pathologists in some telemedicine applications. However, the size of this kind of images is prohibitive for n
A soft-cache strategy for pathologist's navigation in virtual microscopy
✍ Scribed by Francisco Gómez; Diana Marín; Eduardo Romero
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 777 KB
- Volume
- 74
- Category
- Article
- ISSN
- 1059-910X
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Navigation through large microscopical images demands special characteristics like flexibility to access image data and progressive recovery or relevant information, i.e., several qualities, magnifications, and random accesses to any desired Window of Interest in the Virtual Slide (VS). Nowadays there exist systems that allow such interaction, but with a certain delay, which is dependent on the application. It has been shown that caching or prefetching policies can speed up interaction with these systems. This article presents an optimal soft‐cache strategy, which improves the navigation times in virtual microscopy. The entire method includes an optimal soft‐cache strategy and a dynamical probabilistic model of a pathologist's navigation. This strategy was implemented as a Client‐Server application, using the JPEG2000‐JPIP standard and evaluated using different navigation patterns, namely, four different pathologists exploring 10 VS, stained with different dyes. The present approach was compared with a conventional soft‐cache method and the cache performance improved, in average, in about a 10%. Microsc. Res. Tech., 2011. © 2010 Wiley‐Liss, Inc.
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In the above paper, the Acknowledgements failed to include the following information: The authors are indebted to the two anonymous referees who highly enriched this paper. Also we would like to thank The Pathology Department of the National University, Doctors Yobanny Sa ´nchez, Yinneth Acosta, Lu