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Standardized DICOM format enables sharing of pathology image-derived data

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a method to standardize and share image-derived data in computational pathology using the Digital Imaging and Communications in Medicine (DICOM) standard. This approach addresses the challenge of sharing data like region-of-interest delineations and segmentation masks, which has lagged behind the sharing of raw pathology images. The team encoded five datasets into DICOM format and made them publicly available through the National Cancer Institute (NCI) Imaging Data Commons (IDC), demonstrating the benefits of this harmonization and contributing to open-source tooling for broader adoption. AI

IMPACT Standardizing image-derived data in computational pathology could accelerate AI model development and validation in medical imaging.

RANK_REASON The item is an academic paper detailing a new method for data standardization and sharing in computational pathology. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Standardized DICOM format enables sharing of pathology image-derived data

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The item is an academic paper detailing a new method for data standardization and sharing in computational pathology. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Daniela P. Schacherer (Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany), Christopher P. Bridge (Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, USA), David Clunie (PixelMed Publishing, Bangor,… ·

    Sharing standardized image-derived data in computational pathology using DICOM

    arXiv:2609.14530v1 Announce Type: cross Abstract: Development and evaluation of computational pathology methods require access to large and diverse datasets. Over the past decade, various initiatives invested significantly into collecting, centralizing, and sharing pathology imag…

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