ArticleJournal of pathology informatics2019
Dual-Personality DICOM-TIFF for Whole Slide Images: A Migration Technique for Legacy Software.
Article in Journal of pathology informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Comparison and image analysis of different file formats on whole-slide images for colorectal and non-small cell lung carcinomas.Journal of pathology informatics · 2026Article
- Converting whole slide images from DICOM to ScanScope Virtual Slide-like TIFF: a practical workaround for teaching, research, and collaborative diagnosis.Virchows Archiv : an international journal of pathology · 2026Article
- The evolving role of DICOM in digital pathology.Journal of pathology informatics · 2026Review
- Raining on the WSI interoperability parade - incorrect assertions with respect to DICOM and fur coats in the summertime.Journal of pathology informatics · 2025Article
- The Iris File Extension.Journal of pathology informatics · 2025Article
- NCI Cancer Research Data Commons: Resources to Share Key Cancer Data.Cancer research · 2024Review
- Artificial intelligence-based orthopaedic perpetual design.Journal of clinical orthopaedics and trauma · 2024Article
- Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology.Nature communications · 2023Article
- Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology.Journal of digital imaging · 2022Article
- DICOMization of Proprietary Files Obtained from Confocal, Whole-Slide, and FIB-SEM Microscope Scanners.Sensors (Basel, Switzerland) · 2022Article
- MITI minimum information guidelines for highly multiplexed tissue images.Nature methods · 2022Article
- Software tools and platforms in Digital Pathology: a review for clinicians and computer scientists.Journal of pathology informatics · 2022Review
- NCI Imaging Data Commons.Cancer research · 2021Article
- Dicom_wsi: A Python Implementation for Converting Whole-Slide Images to Digital Imaging and Communications in Medicine Compliant Files.Journal of pathology informatics · 2021Article
- Developing image analysis pipelines of whole-slide images: Pre- and post-processing.Journal of clinical and translational science · 2020Review
- Deep Learning for Whole Slide Image Analysis: An Overview.Frontiers in medicine · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite recently organized Digital Imaging and Communications in Medicine (DICOM) testing and demonstration events involving numerous participating vendors, it is still the case that scanner manufacturers, software developers, and users continue to depend on proprietary file formats rather than adopting the standard DICOM whole slide microscopic image object. Many proprietary formats are Tagged Image File Format (TIFF) based, and existing applications and libraries can read tiled TIFF files. The sluggish adoption of DICOM for whole slide image encoding can be temporarily mitigated by the use of dual-personality DICOM-TIFF files. These are compatible with the installed base of TIFF-based software, as well as newer DICOM-based software. The DICOM file format was deliberately designed to support this dual-personality capability for such transitional situations, although it is rarely used. Furthermore, existing TIFF files can be converted into dual-personality DICOM-TIFF without changing the pixel data. This paper demonstrates the feasibility of extending the dual-personality concept to multiframe-tiled pyramidal whole slide images and explores the issues encountered. Open source code and sample converted images are provided for testing.
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Registered trials
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.