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This dataset contains demographic, morphological and pathological data, endoscopic images and videos of 191 patients with colorectal polyps. Morphological data is included based on the latest international gastroenterology classification references such as Paris, Pit and JNET classification. Pathological data includes the diagnosis of the polyps including Tubular, Villous, Tubulovillous, Hyperplastic, Serrated, Inflammatory and Adenocarcinoma with Dysplasia Grade & Differentiation.

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The optimal labelling method for artificial intelligence-assisted polyp detection in colonoscopy.

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Continuing Medical Education Questions: August 2024.

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Introduction: Colorectal cancer (CRC) has surged to prominence as the leading cancer affecting men and the second most common affecting women in Saudi Arabia. The need for preventative screening is underscored by the rising prevalence of precancerous polyps, early-stage colorectal cancer, and the fact that these conditions often manifest without symptoms.

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