Abstract
The advent of big data and deep learning algorithms has promoted a major shift toward data-driven methods in medical image analysis recently. However, the medical image analysis field has a long and rich history inclusive of both knowledge-driven and data-driven methodologies. In the present article, we provide a historical review of an illustrative sample of medical image analysis methods and locate them along a knowledge-driven versus data-driven continuum. In doing so, we highlight the historical importance as well as current-day relevance of more traditional, knowledge-based artificial intelligence approaches and their complementarity with fully data-driven techniques such as deep learning.
Original language | English (US) |
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Pages (from-to) | 401-415 |
Number of pages | 15 |
Journal | Neuroimaging Clinics of North America |
Volume | 30 |
Issue number | 4 |
DOIs | |
State | Published - Nov 2020 |