Convolutional neural networks, a model for deep learning in diagnostic imaging. A topic review
DOI:
https://doi.org/10.53903/01212095.161Keywords:
Artificial intelligence, Deep learning, RadiologyAbstract
Advances in artificial intelligence have impacted several areas of everyday life, as well as in the area of medicine. Due to the rapid application of deep learning in biomedical data, radiological and nuclear imaging has begun to adopt this technique. Deep learning is expected to have an effect on the process of image acquisition and interpretation, as well as on decision making. This review first provides an overview of the basic concepts and operation of convolutional neural networks, as well as current insights into the medical application focused on diagnostic imaging.
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