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New dataset CRC-HGD released for AI-driven colorectal cancer grading

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced CRC-HGD, a new dataset containing 1,914 histopathological images for grading colorectal cancer. The dataset, sourced from 214 patients diagnosed between 2014 and 2019, includes images at four magnification levels (4x, 10x, 20x, and 40x). These images are categorized into three grades—well-differentiated (Grade I), moderately differentiated (Grade II), and poorly differentiated (Grade III)—according to World Health Organization criteria. This resource aims to facilitate the development of artificial intelligence models for automated cancer detection and classification. AI

IMPACT Facilitates the development of AI models for more accurate and automated colorectal cancer grading, potentially improving patient prognosis and treatment planning.

RANK_REASON The item describes a new dataset created for research purposes, specifically for training AI models in medical image analysis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

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

New dataset CRC-HGD released for AI-driven colorectal cancer grading

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The item describes a new dataset created for research purposes, specifically for training AI models in medical image analysis. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    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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