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Ultrasound Report Generation with Cross-Modality Feature Alignment via Unsupervised Guidance
In this work, we propose a novel framework for automatic ultrasound report generation, leveraging a combination of unsupervised and supervised learning methods to aid the report generation process.
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
In this work, we leverage descriptions in medical reports to design multi-granular question-answer pairs associated with different diseases, which assist the framework in pre-training without requiring extra annotations from experts.
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