Methods In this article, a compendious review of different medical imaging modalities and evaluation of related multimodal databases along with the statistical results is provided. The medical imaging modalities are organized based on radiation, visible-light imaging, microscopy, and multimodal imaging. ...
Multi-Focus Image Fusion (MFIF) was designed to solve the issue of the limited depth of field inherent in the optical lens of imaging systems. In addition, MFIF extracts all the relevant information from the source image. In this study, we present a systematic review of the current literatu...
Image matching or registration for multimodal cases has played a critical role in various fields, including medical diagnosis, remote sensing (change detection, map updating, data fusion), and computer vision (image fusion, target recognition and tracking, image localization, or place recognition). Ov...
and entertainment, the review underlines the broad-ranging implications of image caption generation. It explores future approaches such as multimodal data integration and advancements in unsupervised learning, addressing challenges like captioning complex scenes and managing diverse languages. This concise overv...
Multimodal image encoding pre-training for diabetic retinopathy grading. Comput Biol Med. 2022;143:105302. Article PubMed Google Scholar Hajeb Mohammad Alipour S, Rabbani H, Akhlaghi MR. Diabetic retinopathy grading by digital curvelet transform. Comput Math Methods Med. 2012;2012:761901. Article...
The dissertation presents several signal processing algorithms for image fusion in noisy multimodal conditions. It introduces a novel image fusion method which performs well for image sets heavily corrupted by noise. As opposed to curren... Omar,Z Bin 被引量: 3发表: 2012年 Cluster Based Evaluation...
In this Review, we discuss three ways the multimodal phenomena underlying face-to-face social interaction can be organized to provide a solid basis for theory development. Next, we review three types of theory of social interaction: theories that focus on the social meaning of actions, theories ...
Advances in nanomedicine have aided in the development of multifunctional and multimodal nanoparticles (NPs). NPs have a substantial impact on cancer imaging because they enable the generation of multimodal contrast agents and surface functionalization for precise molecular recognition [15,16]. In recent...
Deep learning-based image segmentation on multimodal medical imaging IEEE Trans Radiat Plasma Med Sci, 3 (2) (2019), pp. 162-169 CrossrefView in ScopusGoogle Scholar [30] G. Litjens, T. Kooi, B.E. Bejnordi, A.A.A. Setio, F. Ciompi, M. Ghafoorian, J.A. Van Der Laak, B. Va...
Both steps are equally important: poor analysis of a modality can worsen the multimodal system’s performance, while an inefficient fusion can ruin the multimodal system’s stability. Thus, in this article, we decided to review both unimodal affect analysis literature, as well as the research ...