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A novel method was developed to assess left ventricular (LV) quantitatively infarction through three-dimensional (3D) multimodality fusion based on computed tomography angiography (CTA) and technetium-99m methoxyisobutylisonitrile (99mTc-MIBI) single-photon emission computed tomography (SPECT) images.
With the advances in computer technology, interactive multimodality fusion images have been developed.
The experiments show that our proposed frame selection strategy can reduce more than 90% of the computations without sacrificing environment prediction accuracy, and can be easily extended to the situation of multimodality fusion.
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Therefore, this paper proposes a new model, Representation of Dense Multimodality Fusion Encoder Based on Transformer, for short, RDMMFET, which can learn the related knowledge between vision and language.
Multimodality fusion based on deep neural networks (DNN) is a significant method for intelligent vehicles.
The new generation Watchman FLX device (Boston Scientific) was implanted in this technically and anatomically challenging LAA patient using multimodality fusion imaging.
Experimental results show that the proposed DNNSN with multimodality fusion outperforms the model with single modality for vigilance estimation due to the complementary information between forehead-EOG and EEG.
She was diagnosed with aorta‐to‐right ventricle fistula and was efficiently treated with retrograde implantation of an Amplatzer Duct Occluder II device using three‐dimensional multimodality fusion imaging.
Secondly, we have discussed the literature survey of MRI brain tumour segmentation using deep learning methods and its multimodality fusion.
This study widens the efficient use of machine learning methods, Voxel Residual Network (VRN), with multimodality fusion architecture to learn and analyze the image to classify and predict cognitive power.
Second, the joint features are formed by combination of each of image and handcrafted features, and a multimodality fusion model is applied to fuse the joint features to yield further improvement.
New treatment US techniques for the ablation of pancreatic tumours, such as contrast-enhanced US and multimodality fusion imaging, have been recently developed and have elicited a growing interest worldwide.