ArticleJournal of pathology informatics2012
Compressing pathology whole-slide images using a human and model observer evaluation.
Article in Journal of pathology informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Interobserver Variability Across Whole-Slide Imaging Systems.Archives of pathology & laboratory medicine · 2026Article
- Optimal Lossy Compression Scheme of 3D Volumetric Ultrasound Images For Remote Breast Cancer Screening.Journal of imaging informatics in medicine · 2026Article
- DeepDOF-SE: affordable deep-learning microscopy platform for slide-free histology.Nature communications · 2024Article
- Optimizing Storage and Computational Efficiency: An Efficient Algorithm for Whole Slide Image Size Reduction.Mayo Clinic proceedings. Digital health · 2023Article
- Improved 3D U-Net robustness against JPEG 2000 compression for male pelvic organ segmentation in radiotherapy.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Video compression to support the expansion of whole-slide imaging into cytology.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Impact of JPEG 2000 compression on deep convolutional neural networks for metastatic cancer detection in histopathological images.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Digital Microscopy, Image Analysis, and Virtual Slide Repository.ILAR journal · 2018Article
- Optimized JPEG 2000 Compression for Efficient Storage of Histopathological Whole-Slide Images.Journal of pathology informatics · 2018Article
- Influence of study design on digital pathology image quality evaluation: the need to define a clinical task.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- Impact of Altering Various Image Parameters on Human Epidermal Growth Factor Receptor 2 Image Analysis Data Quality.Journal of pathology informatics · 2017Article
- Pigeons (Columba livia) as Trainable Observers of Pathology and Radiology Breast Cancer Images.PloS one · 2015Article
- Imaging file management to support international telepathology.Journal of pathology informatics · 2015Article
- American Telemedicine Association clinical guidelines for telepathology.Journal of pathology informatics · 2014Article
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Authors and funding
5 authors.
Funding
Abstract
introductionWe aim to determine to what degree whole-slide images (WSI) can be compressed without impacting the ability of the pathologist to distinguish benign from malignant tissues. An underlying goal is to demonstrate the utility of a visual discrimination model (VDM) for predicting observer performance. MATERIALS AND
methodsA total of 100 regions of interest (ROIs) from a breast biopsy whole-slide images at five levels of JPEG 2000 compression (8:1, 16:1, 32:1, 64:1, and 128:1) plus the uncompressed version were shown to six pathologists to determine benign versus malignant status.
resultsThere was a significant decrease in performance as a function of compression ratio (F = 14.58, P < 0.0001). The visibility of compression artifacts in the test images was predicted using a VDM. Just-noticeable difference (JND) metrics were computed for each image, including the mean, median, ≥90th percentiles, and maximum values. For comparison, PSNR (peak signal-to-noise ratio) and Structural Similarity (SSIM) were also computed. Image distortion metrics were computed as a function of compression ratio and averaged across test images. All of the JND metrics were found to be highly correlated and differed primarily in magnitude. Both PSNR and SSIM decreased with bit rate, correctly reflecting a loss of image fidelity with increasing compression. Observer performance as measured by the Receiver Operating Characteristic area under the curve (ROC Az) was nearly constant up to a compression ratio of 32:1, then decreased significantly for 64:1 and 128:1 compression levels. The initial decline in Az occurred around a mean JND of 3, Minkowski JND of 4, and 99th percentile JND of 6.5.
conclusionWhole-slide images may be compressible to relatively high levels before impacting WSI interpretation performance. The VDM metrics correlated well with artifact conspicuity and human performance.
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