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Machine learning and deep learning applied in ultrasound
25
Zitationen
3
Autoren
2018
Jahr
Abstract
We live in an exciting time, which many call the Information Age, signifying the fact that the amount of information in the world is growing exponentially. The use of medical imaging is vastly increasing [1]. From 1996 until 2010 the number of ultrasound exams has approximately doubled, while the number of CT and MRI examinations has almost tripled and quadrupled, respectively [2]. The large amount of data and the need for the early detection of pathologies are very demanding [3]. Due to the increasing workload, data handling needs to be faster and more precise. This editorial will showcase some of the basic principles of machine learning and deep learning within ultrasound imaging.
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