首页|University of Chicago Reports Findings in Machine Learning (Examining feature ex traction and classification modules in machine learning for diagnosis of low-dos e computed tomographic screeningdetected in vivo lesions)
University of Chicago Reports Findings in Machine Learning (Examining feature ex traction and classification modules in machine learning for diagnosis of low-dos e computed tomographic screeningdetected in vivo lesions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Chicago, Illinois, by NewsRx correspondents, research stated, “Medical imaging-basedmachine learning (ML) for computer-aided diagnosis of lesions consists of two basic components or modulesof (i) feature extraction from non-invasively acquired medical images a nd (ii) feature classification forprediction of malignancy of lesions detected or localized in the medical images. This study investigatestheir individual per formances for diagnosis of low-dose computed tomography (CT) screening-detectedlesions of pulmonary nodules and colorectal polyps.”
ChicagoIllinoisUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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