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Towards Maximizing Storage Efficiency in Pathological Whole Slide Imaging: ROI-Based Hybrid Image Compression

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Bibliographic Details
Published in:Journal of Computational Vision and Imaging Systems
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Computational Vision and Imaging Systems
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78502
institution FRELIP
journal_source_facet Journal of Computational Vision and Imaging Systems
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Towards Maximizing Storage Efficiency in Pathological Whole Slide Imaging: ROI-Based Hybrid Image Compression
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Towards Maximizing Storage Efficiency in Pathological Whole Slide Imaging: ROI-Based Hybrid Image Compression
title_auth Towards Maximizing Storage Efficiency in Pathological Whole Slide Imaging: ROI-Based Hybrid Image Compression
title_full Towards Maximizing Storage Efficiency in Pathological Whole Slide Imaging: ROI-Based Hybrid Image Compression
title_fullStr Towards Maximizing Storage Efficiency in Pathological Whole Slide Imaging: ROI-Based Hybrid Image Compression
title_full_unstemmed Towards Maximizing Storage Efficiency in Pathological Whole Slide Imaging: ROI-Based Hybrid Image Compression
title_short Towards Maximizing Storage Efficiency in Pathological Whole Slide Imaging: ROI-Based Hybrid Image Compression
title_sort towards maximizing storage efficiency in pathological whole slide imaging: roi-based hybrid image compression
topic Computer Science
General
Computer Science
url https://openjournals.uwaterloo.ca/index.php/vsl/article/view/7115