Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation
High lexico-syntactic variation across radiology reports even when they convey the same diagnostic information complicates evaluation and hence the training of deep learning models for Automatic Radiology Report Generation. This problem can be addressed by 1) developing an internal standard for the...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10759643/ |
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