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New BRIDGE dataset advances computational pathology with paired biopsy images

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced the BRIDGE dataset, a collection of paired brightfield whole-slide images of prostate core-needle biopsies. This dataset, comprising 2607 images from 869 slides across 169 patients, is designed to advance computational pathology, particularly in the development of label-free virtual staining techniques. The images are accompanied by Gleason scores, enabling downstream analyses for cancer classification and grading, and will be made available through the BioImage Archive. AI

IMPACT This dataset will support the development and validation of AI models for virtual staining and image analysis in histopathology.

RANK_REASON The cluster describes a new dataset released via arXiv, which is a form of research publication. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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

New BRIDGE dataset advances computational pathology with paired biopsy images

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The cluster describes a new dataset released via arXiv, which is a form of research publication. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Julia A. Mielcarz, Justyna Dur\'slewicz, Marek Zdrenka, Ahmad Abbadi, Martin Eklund, Mateusz Matusiak, {\L}ukasz Szylberg, Andrea Camilloni ·

    The BRIDGE dataset: paired brightfield whole-slide images of prostate core-needle biopsies in paraffin, after deparaffinization and H&E staining

    arXiv:2611.13883v1 Announce Type: new Abstract: Computational approaches are increasingly being explored to streamline histopathology workflows, including label-free methods that aim to reduce reliance on chemical staining. Among these, deep learning-based label-free virtual stai…

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