Researchers have developed a pair of modules that gives a boost to the use of artificial neural networks to identify potentially cancerous growths in colonoscopy imagery, traditionally plagued by ...
Quality in colonoscopy is defined by the capacity to detect and characterise premalignant lesions, thereby reducing the incidence of colorectal cancer and interval carcinomas. Key performance ...
Researchers have developed a pair of modules that gives a boost to the use of artificial neural networks to identify potentially cancerous growths in colonoscopy imagery, traditionally plagued by ...
The accuracy of computed tomographic colonography ("virtual colonoscopy") for the detection of colorectal cancer is lower than that for conventional colonoscopy, suggesting that use of "virtual" ...
Deep learning has improved colonoscopy image analysis in recent years, catching colorectal growths before they can spread. The approach still suffers from image noise that reduces accuracy however, ...
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