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AI Model That Reduces Cost And Time And Increasing Accuracy Of Cancer Diagnosis

A research team led by Professor Park Sang-Hyun of the Department of Robotics and Mechatronics Engineering (also in charge of the Artificial Intelligence major) at DGIST (President Kuk Yang) developed a weakly supervised deep learning model that can accurately show the presence and location of cancer in pathological images based only on data where the cancer is present. Existing deep learning models needed to construct a dataset, in which the location of the cancer was accurately drawn, to specify the cancer site.

AI Model that Reduces Cost and Time and Increasing Accuracy of Cancer Diagnosis

AI Model that Reduces Cost and Time and Increasing Accuracy of Cancer Diagnosis
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