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DC Field | Value | Language |
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dc.citation.endPage | 1395 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1386 | - |
dc.citation.title | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS | - |
dc.citation.volume | 16 | - |
dc.contributor.author | Jeong, Won-Ki | - |
dc.contributor.author | Schneider, Jens | - |
dc.contributor.author | Turney, Stephen G. | - |
dc.contributor.author | Faulkner-Jones, Beverly E. | - |
dc.contributor.author | Meyer, Dominik | - |
dc.contributor.author | Westermann, Ruediger | - |
dc.contributor.author | Reid, R. Clay | - |
dc.contributor.author | Lichtman, Jeff | - |
dc.contributor.author | Pfister, Hanspeter | - |
dc.date.accessioned | 2023-12-22T06:40:38Z | - |
dc.date.available | 2023-12-22T06:40:38Z | - |
dc.date.created | 2014-10-29 | - |
dc.date.issued | 2010-11 | - |
dc.description.abstract | Histology is the study of the structure of biological tissue using microscopy techniques. As digital imaging technology advances, high resolution microscopy of large tissue volumes is becoming feasible; however, new interactive tools are needed to explore and analyze the enormous datasets. In this paper we present a visualization framework that specifically targets interactive examination of arbitrarily large image stacks. Our framework is built upon two core techniques: display-aware processing and GPU-accelerated texture compression. With display-aware processing, only the currently visible image tiles are fetched and aligned on-the-fly, reducing memory bandwidth and minimizing the need for time-consuming global pre-processing. Our novel texture compression scheme for GPUs is tailored for quick browsing of image stacks. We evaluate the usability of our viewer for two histology applications: digital pathology and visualization of neural structure at nanoscale-resolution in serial electron micrographs. | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.16, no.6, pp.1386 - 1395 | - |
dc.identifier.doi | 10.1109/TVCG.2010.168 | - |
dc.identifier.issn | 1077-2626 | - |
dc.identifier.scopusid | 2-s2.0-78149243509 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/7995 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=78149243509 | - |
dc.identifier.wosid | 000283758600059 | - |
dc.language | 영어 | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.title | Interactive Histology of Large-Scale Biomedical Image Stacks | - |
dc.type | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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