Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations

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 encouraged th...

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Bibliographic Details
Main Authors: Stephanie Chan, Vidhatha Reddy, Bridget Myers, Quinn Thibodeaux, Nicholas Brownstone, Wilson Liao
Format: Article
Language:English
Published: Adis, Springer Healthcare 2020-04-01
Series:Dermatology and Therapy
Subjects:
Artificial intelligence
Convolutional neural network
Deep learning
Dermatology
Image classification
Machine learning
Online Access:https://doi.org/10.1007/s13555-020-00372-0

Internet

https://doi.org/10.1007/s13555-020-00372-0

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