Automated labelling of radiology reports using natural language processing: Comparison of traditional and newer methods
Abstract Automated labelling of radiology reports using natural language processing allows for the labelling of ground truth for large datasets of radiological studies that are required for training of computer vision models. This paper explains the necessary data preprocessing steps, reviews the ma...
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Main Authors: | Seo Yi Chng (Author), Paul J. W. Tern (Author), Matthew R. X. Kan (Author), Lionel T. E. Cheng (Author) |
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Format: | Book |
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Wiley,
2023-04-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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