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Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings

Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings: Posted by Daniel Freedman and Ehud Rivlin, Research Scientists, Google Health

"In “Detecting Deficient Coverage in Colonoscopies”, we introduce the Colonoscopy Coverage Deficiency via Depth algorithm, or C2D2, a machine learning-based approach to improving colonoscopy coverage. The C2D2 algorithm performs a local 3D reconstruction of the colon as images are captured during the procedure, and on that basis, identifies which areas of the colon were covered and which remained outside of the field of view."

Source: ai.googleblog.com

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