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]
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- colorectal cancer
- CRC-HGD
- databiox.com
- Isfahan University of Medical Sciences
- Mendeley Data
- Poursina Hakim Research Center
- World Health Organization
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