AI-based Multimodal Medical Image Fusion Diagnostic Algorithms
Abstract
Multimodal medical image fusion, by integrating supplementary information from different imaging modalities, can enhance the
accuracy and comprehensiveness of disease diagnosis. Integrating AI technology into is equal to inject new energy into it. This paper summarizes the research status of AI-based multimodal medical image fusion diagnostic algorithms, synthesizes the types of algorithms, key core
technologies and application features, analyzes the existing challenges, and predicts the future development trends, thereby providing reference for related scientific research efforts and clinical application.
accuracy and comprehensiveness of disease diagnosis. Integrating AI technology into is equal to inject new energy into it. This paper summarizes the research status of AI-based multimodal medical image fusion diagnostic algorithms, synthesizes the types of algorithms, key core
technologies and application features, analyzes the existing challenges, and predicts the future development trends, thereby providing reference for related scientific research efforts and clinical application.
Keywords
AI; Multimodal Medical Image; Image Fusion; Diagnostic Algorithm; Deep Learning
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PDFReferences
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DOI: http://dx.doi.org/10.70711/aitr.v3i12.9457
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