Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations
Abstract Machine learning (ML) has the potential to improve the dermatologist's practice from diagnosis to personalized treatment. Recent advancements in access to large datasets (e.g., electronic medical records, image databases, omics), faster computing, and cheaper data storage have encourag...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
Adis, Springer Healthcare,
2020-04-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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