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This paper explores deep learning models for classifying multimodal biomedical data using various fusion strategies. By combining medical images and metadata, the study evaluates the impact of different fusion approaches on classification performance. The findings highlight the potential of advanced fusion methods to enhance diagnostic accuracy in medical applications.

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Classification of Multimodal Biomedical Data

  • 会议论文

  • 发表日期：

    2025年

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  • Dariusz Jankowski,
  • Jakub Kardela

摘要

This paper explores deep learning models for classifying multimodal biomedical data using various fusion strategies. By combining medical images and metadata, the study evaluates the impact of different fusion approaches on classification performance. The findings highlight the potential of advanced fusion methods to enhance diagnostic accuracy in medical applications.