ArticleJournal of pathology informatics2018
Optimized JPEG 2000 Compression for Efficient Storage of Histopathological Whole-Slide Images.
Article in Journal of pathology informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 37 citations in OpenAlex.
- Whole-slide imaging in hematopathology: Current state, challenges and future opportunities.Journal of pathology informatics · 2026Review
- Unlocking the potential of digital pathology: Novel baselines for compression.Journal of pathology informatics · 2025Article
- Highly Multiplexed Tissue Imaging in Precision Oncology and Translational Cancer Research.Cancer discovery · 2024Review
- Computationally efficient adaptive decompression for whole slide image processing.Biomedical optics express · 2023Article
- Accurate diagnostic tissue segmentation and concurrent disease subtyping with small datasets.Journal of pathology informatics · 2023Article
- Automated Curation and AI Workflow Management System for Digital Pathology.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Efficient Visualization of Whole Slide Images in Web-based Viewers for Digital Pathology.Archives of pathology & laboratory medicine · 2022Article
- DICOMization of Proprietary Files Obtained from Confocal, Whole-Slide, and FIB-SEM Microscope Scanners.Sensors (Basel, Switzerland) · 2022Article
- Whole slide image data utilization informed by digital diagnosis patterns.Journal of pathology informatics · 2022Article
- Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis.JCO clinical cancer informatics · 2020Article
- Impact of JPEG 2000 compression on deep convolutional neural networks for metastatic cancer detection in histopathological images.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- An automatic whole-slide hyperspectral imaging microscope.Proceedings of SPIE--the International Society for Optical EngineeringArticle
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhole slide images (WSIs, digitized histopathology glass slides) are large data files whose long-term storage remains a significant cost for pathology departments. Currently used WSI formats are based on lossy image compression alogrithms, either using JPEG or its more efficient successor JPEG 2000. While the advantages of the JPEG 2000 algorithm (JP2) are commonly recognized, its compression parameters have not been fully optimized for pathology WSIs.
methodsWe defined an optimized parametrization for JPEG 2000 image compression, designated JP2-WSI, to be used specifically with histopathological WSIs. Our parametrization is based on allowing a very high degree of compression on the background part of the WSI while using a conventional amount of compression on the tissue-containing part of the image, resulting in high overall compression ratios.
resultsWhen comparing the compression power of JP2-WSI to the commonly used fixed 35:1 compression ratio JPEG 2000 and the default image formats of proprietary Aperio, Hamamatsu, and 3DHISTECH scanners, JP2-WSI produced the smallest file sizes and highest overall compression ratios for all 17 slides tested. The image quality, as judged by visual inspection and peak signal-to-noise ratio (PSNR) measurements, was equal to or better than the compared image formats. The average file size by JP2-WSI amounted to 15, 9, and 16 percent, respectively, of the file sizes of the three commercial scanner vendors' proprietary file formats (3DHISTECH MRXS, Aperio SVS, and Hamamatsu NDPI). In comparison to the commonly used 35:1 compressed JPEG 2000, JP2-WSI was three times more efficient.
conclusionsJP2-WSI allows very efficient and cost-effective data compression for whole slide images without loss of image information required for histopathological diagnosis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.