首页|University Hospital of Saint-Etienne Reports Findings in Artificial Intelligence (Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from image s ...)
University Hospital of Saint-Etienne Reports Findings in Artificial Intelligence (Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from image s ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news originating from Saint-Etienne, France, by NewsRx correspondents, research stated, “To evaluate the performance of machine learning and then deep learning to detect a systemic scleroderma (SSc ) landscape from the same set of nailfold capillaroscopy (NC) images from the Fr ench prospective multicenter observational study SCLEROCAP. NC images from the f irst 100 SCLEROCAP patients were analyzed to assess the performance of machine l earning and then deep learning in identifying the SSc landscape, the NC images h aving previously been independently and consensually labeled by expert clinician s.”
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