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New dataset released for grading colorectal cancer using AI

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced CRC-HGD, a new dataset of histopathological images specifically designed for grading colorectal cancer. The dataset comprises 1,914 images from 214 patients, categorized into three differentiation grades (well, moderately, and poorly differentiated) according to World Health Organization criteria. It offers images at four magnification levels (4x, 10x, 20x, and 40x) and is made available through Mendeley Data, aiming to facilitate advanced computational analysis for cancer grading. AI

IMPACT Enables AI-driven advancements in accurate colorectal cancer grading and prognosis.

RANK_REASON The cluster describes a new dataset released via arXiv for research purposes.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New dataset released for grading colorectal cancer using AI

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COVERAGE [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: A Histopathological Image Dataset for Grading Colorectal Cancer

    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: A Histopathological Image Dataset for Grading Colorectal Cancer

    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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