AI system detects cancer tumours missed by conventional diagnostics

IQRA FAROOQ | August 23, 2018

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Computer engineers have ‘taught’ a computer to identify tiny specs of lung cancer in CT scan images, often missed by radiologists. Engineers have used machine learning to ‘teach’ a computer how to detect tiny specs of lung cancer in CT scans. Researchers from the University of Central Florida’s Computer Vision Research Centre taught the machine to identify areas often missed by radiologists, with an accuracy rate of 95 percent, compared to 65 percent by human eyes. The researchers describe the method as being similar to algorithms used by facial-recognition software, where thousands of faces are scanned for patterns to identify the right match.

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Gattefossé USA - Pharmaceutical Division

Dating back to 1961, Galderma is now present in 80 countries with an extensive product portfolio to treat a range of dermatological conditions.

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Gattefossé USA - Pharmaceutical Division

Dating back to 1961, Galderma is now present in 80 countries with an extensive product portfolio to treat a range of dermatological conditions.

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