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    1. Pairing imaging, AI may improve colon cancer screening, diagnosis

      Pairing imaging, AI may improve colon cancer screening, diagnosis

      A research team from the lab of Quing Zhu, the Edwin H. Murty Professor of Engineering at the McKelvey School of Engineering at Washington University in St. Louis, has combined optical coherence tomography (OCT) and machine learning to develop a colorectal cancer imaging tool that may one day improve the traditional endoscopy currently used by doctors. The results were published in the June issue of the Journal of Biophotonics, with an image featured on the inside cover.

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    2. Machine learning, imaging technique may boost colon cancer diagnosis

      Machine learning, imaging technique may boost colon cancer diagnosis

      Colorectal cancer is the second most common type of cancer worldwide, with about 90% of cases occurring in people 50 or older. Arising from the inner surface, or muscosal layer, of the colon, cancerous cells can penetrate through the deeper layers of the colon and spread to other organs. Left untreated, the disease is fatal. Current colon cancer screening is performed by flexible colonoscopy. The procedure involves visual inspection of the mucosal lining of the colon and rectum with a camera mounted on an endoscope. Abnormal appearing areas are then biopsied for analysis. Although this is the current standard of ...

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