Web of Science 和 CiteSpace (Chen, 2006) 被选为主要的分析工具。 以表3中的Query 1为例,使用高级检索从Web of Science核心合集中初步返回691个结果: TS=(''remote sensing'') AND TS=(''deep learning'') AND TS =(''融合'')。 在仅考虑“文章”文献类型后,将 2015 年至 2022 年发表的 598 ...
The introduction of deep learning has greatly advanced the analysis of biomedical data. However, most approaches focus on single data modalities, leading to slow progress in methods to integrate complementary data types. Development of effective multimodal fusion approaches is becoming increasingly ...
Foo PH, Ng GW (2013) High-level information fusion: an overview. J Adv Inf Fusion 8:33–72 Google Scholar Stahlschmidt SR, Ulfenborg B, Synnergren J (2022) Multimodal deep learning for biomedical data fusion: a review. Brief Bioinform. https://doi.org/10.1093/bib/bbab569 Article Goog...
Deep Learning for Multimodal Data Fusiondoi:10.1016/B978-0-12-817358-9.00008-1Asako KanezakiRyohei KugaYusuke SuganoYasuyuki MatsushitaMultimodal Scene Understanding
Visual Attention Methods in Deep Learning: An In-Depth Survey Vision+X: A Survey on Multimodal ...
A Survey on Deep Learning for Multimodal Data Fusion With the wide deployments of heterogeneous networks, huge amounts of data with characteristics of high volume, high variety, high velocity, and high veracity are generated. These data, referred to multimodal big data, contain abundant in... J...
图1：胃肠病学报告示例，其中对齐的图像和报告用不同颜色标记，医学术语知识用红色下划线表示。已有工作的...
weexamine multimodallearningandhowtoemploydeeparchitecturestolearnmultimodalrepresentations. Multimodallearninginvolvesrelatinginformationfrommultiplesources.Forexample,imagesand 3-ddepthscansarecorrelatedatfirst-orderasdepthdiscontinuitiesoftenmanifestasstrongedges inimages.Conversely,audioandvisualdataforspeechrecognition...
Multimodal data fusion for automated clinical outcome prediction and diagnosis has been gaining traction within the past 3 years. For prediction of Alzheimer's disease15,16,17,18, demographic data with specific lab tests were combined with imaging data as inputs to deep learning models and found ...
Most current Alzheimer’s disease (AD) and mild cognitive disorders (MCI) studies use single data modality to make predictions such as AD stages. The fusion of multiple data modalities can provide a holistic view of AD staging analysis. Thus, we use deep learning (DL) to integrally analyze ...