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English(EN) CRC-HGD: A Histopathological Image Dataset for Grading Colorectal Cancer

发布用于AI辅助结直肠癌分级的新数据集

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员发布了CRC-HGD，一个专门用于结直肠癌分级的新组织病理图像数据集。该数据集包含来自214名患者的1,914张图像，根据世界卫生组织标准分为三个分化等级（高分化、中分化和低分化）。它提供了四个放大倍率（4x、10x、20x和40x）的图像，并通过Mendeley Data提供，旨在促进癌症分级的先进计算分析。 AI

影响 推动AI在结直肠癌准确分级和预后方面的进步。

排序理由 该集群描述了一个通过arXiv发布用于研究目的的新数据集。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

发布用于AI辅助结直肠癌分级的新数据集

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该集群描述了一个通过arXiv发布用于研究目的的新数据集。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Elham Amjadi, Amin Bahreini, Sayed Mohammad Hasan Emami, Sayyed Mohammadreza Hakimian, Alireza Fahim, Hojjatollah Rahimi, Hamidreza Bolhasani ·

    CRC-HGD：用于结直肠癌分级的组织病理图像数据集

    arXiv:2607.12750v1 Announce Type: new Abstract: Colorectal cancer (CRC) is the third most common cancer worldwide and the second leading cause of cancer-related deaths globally, with approximately 1,926,425 new cases and 904,019 deaths reported in 2022. Accurate histologic gradin…

  2. arXiv cs.CV TIER_1 English(EN) · Hamidreza Bolhasani ·

    CRC-HGD：用于结直肠癌分级的组织病理图像数据集

    Colorectal cancer (CRC) is the third most common cancer worldwide and the second leading cause of cancer-related deaths globally, with approximately 1,926,425 new cases and 904,019 deaths reported in 2022. Accurate histologic grading plays a critical role in prognosis and treatme…

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