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Time for second-generation artificial intelligence in medical imaging
1
Zitationen
1
Autoren
2019
Jahr
Abstract
After decades of modest successes and setbacks, it is safe to say that artificial intelligence (AI) is here to stay. Although most of the basic concepts of modern AI technology date back to the second half of the previous century, the enormous increment in data and computational power over the past decade has enabled it to demonstrate its full potential. A branch of AI known as machine learning has been responsible for most of the progress, with remarkable results: from generating hyper-realistic fake images [1] to the detection of lymph node metastases in women with breast cancer [2].
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