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Radiology Report Generation for Rare Diseases via Few-shot Transformer

1 month ago   |   By Harvard

Tang C.. 12/9/2021. “ Radiology Report Generation for Rare Diseases via Few-shot Transformer .” In 2021 IEEE International Conference on Bioinformatics and Biomedicine. Online: IEEE. Abstract Reliable automatic radiology report generation is highly desired to reduce the labor-intensive and error-prone workload. While some multimodal learning models have been proposed to focus on this task, radiology report generation remains challenging for rare diseases. In our previous work, we proposed a model called RareGen, which partially solved this problem by enhancing the semantic representations...
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