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It is the largest study to date examining the diagnostic accuracy of dl on medical. By means of this systematic review, we present current knowledge, summarize important results and provide implementation guidelines to serve as a reference for researchers interested in the. Ongoing improvements in ai, particularly concerning deep learning techniques, are assisting to identify, classify, and quantify patterns in clinical images
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Our aim was to evaluate the diagnostic accuracy of dl algorithms to identify pathology in medical imaging Deep learning (dl) has made significant strides in medical imaging Searches were conducted in medline and embase up to january 2020
We identified 11,921 studies, of which 503 were included in the systematic review.
In this paper, we reviewed and summarized these recent studies to provide a comprehensive overview of applying deep learning methods in various medical image analysis tasks.
