نتایج جستجو برای: multimodal medical images
تعداد نتایج: 864565 فیلتر نتایج به سال:
We propose the n-dimensional scale invariant feature transform (n-SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method's performance to other related features. The proposed features extend the concepts used for 2-D scalar images in the computer vision SIFT technique for extracting and matching distinctive scale invaria...
We propose the -dimensional scale invariant feature transform ( -SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method’s performance to other related features. The proposed features extend the concepts used for 2-D scalar images in the computer vision SIFT technique for extracting and matching distinctive scale invarian...
We propose a novel microscopy image restoration algorithm capable of co-restoring Phase Contrast and Differential Interference Contrast (DIC) microscopy images captured on the same cell dish simultaneously. Cells with different phase retardation and DIC gradient signals are restored into a single image without the halo artifact from phase contrast or pseudo 3D shadow-casting effect from DIC. Th...
Areal bone mineral density (aBMD) is used in clinical practice to diagnose osteoporosis. In previous studies, aBMD was estimated from diagnostic computed tomography (dCT) images, but a battery of medical tests was also taken that can be used to improve the regression performance. However, it is difficult to exploit the multimodal data as the additional features have poor informativeness and may...
and Objective The Khresmoi project is developing a multilingual multimodal search and access system for medical and health information and documents. This scientific demonstration presents the current state of the Khresmoi integrated system, which includes components for text and image annotation, semantic search, search by image similarity and machine translation. The flexibility in adapting t...
This paper presented a multimodal discourse analysis of some visual images in the political rally discourse of 2011 electioneering campaigns in Southwestern Nigeria. The data comprised purposively selected political visual artefacts from political rallies across the six Southwestern States in Nigeria (Osun, Oyo, Ondo, Ekiti, Ogun, and Lagos). The data were analyzed using Halliday’s (1985) syste...
11 Existing algorithms based on scale invariant feature transform (SIFT) and Harris corners such as edge-driven 12 dual-bootstrap iterative closest point and Harris-partial intensity invariant feature descriptor (PIIFD) respectivley have 13 been shown to be robust in registering multimodal retinal images. However, they fail to register color retinal 14 images with other modalities in the presen...
In this paper, we propose pyramid appearance and global structure action descriptors on both RGB and depth motion history images and a model-free method for human action recognition. In proposed algorithm, we firstly construct motion history image for both RGB and depth channels, at the same time, depth information is employed to filter RGB information, after that, different action descriptors ...
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