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

新的 BRIDGE 数据集通过配对活检图像推动计算病理学发展

研究人员推出了 BRIDGE 数据集,这是一个包含前列腺核心针活检的配对明场全切片图像的集合。该数据集包含来自 169 名患者的 869 张载玻片上的 2607 张图像,旨在推动计算病理学发展,特别是在无标记虚拟染色技术方面。图像附带 Gleason 分数,可用于癌症分类和分级的下游分析,并将通过 BioImage Archive 提供。 AI

影响 该数据集将支持在组织病理学中用于虚拟染色和图像分析的 AI 模型的开发和验证。

排序理由 该集群描述了一个通过 arXiv 发布的新数据集,arXiv 是一种研究出版形式。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的 BRIDGE 数据集通过配对活检图像推动计算病理学发展

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该集群描述了一个通过 arXiv 发布的新数据集,arXiv 是一种研究出版形式。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [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 ·

    BRIDGE数据集:石蜡中前列腺核心针活检的配对明场全切片图像,经过脱蜡和H&E染色后

    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…