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A Model of Multimodal Fusion for Medical Applications

机译:用于医疗应用的多峰融合模型

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摘要

Content-based image retrieval has been applied to many different biomedical applications'. In almost all cases, retrievals involve a single query image of a particular modality and retrieved images are from this same modality. For example, one system may retrieve color images from eye exams, while another retrieves fMRI images of the brain. Yet real patients often have had tests from multiple different modalities, and retrievals based on more than one modality could provide information that single modality searches fail to see. In this paper, we show medical image retrieval for two different single modalities and propose a model for multimodal fusion that will lead to improved capabilities for physicians and biomedical researchers. We describe a graphical user interface for multimodal retrieval that is being tested by real biomedical researchers in several different fields.
机译:基于内容的图像检索已应用于许多不同的生物医学应用。在几乎所有情况下,检索都涉及具有特定模态的单个查询图像,而检索到的图像则来自同一模态。例如,一个系统可以从眼科检查中检索彩色图像,而另一个系统可以检索大脑的fMRI图像。然而,实际的患者通常已经从多种不同的方式进行了测试,基于一种以上方式的检索可以提供单方式搜索无法看到的信息。在本文中,我们展示了针对两种不同单一模式的医学图像检索,并提出了一种多模式融合模型,该模型将提高医师和生物医学研究人员的能力。我们描述了用于多模式检索的图形用户界面,该界面已经由真正的生物医学研究人员在几个不同领域中进行了测试。

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