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Prior Knowledge Enhances Radiology Report Generation
Though achieving good results, few works considered incorporating prior knowledge, which can provide supplementary information for accurate reporting. For example, medical observations presented in a chest X-ray image are usually not isolated from each other, where underlying mutual influences may e…
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Though achieving good results, few works considered incorporating prior knowledge, which can provide supplementary information for accurate reporting. For example, medical observations presented in a chest X-ray image are usually not isolated from each other, where underlying mutual influences may exist. Compared to experienced radiologists aware of such relationships, deep learning methods tend to suffer from the lack of knowledge if not explicitly taught, which limits the generation accuracy.