Abstract
Machine learning is becoming increasingly important in both research and clinical applications in radiology due to recent technological developments, particularly in deep learning. As these technologies are translated toward clinical practice, there is a need for radiologists and radiology trainees to understand the basic principles behind them. This primer provides an accessible introduction to the vocabulary and concepts that are central to machine learning and relevant to the radiologist.
Original language | English (US) |
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Pages (from-to) | 133-141 |
Number of pages | 9 |
Journal | Seminars in Ultrasound, CT and MRI |
Volume | 43 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2022 |
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging