An Efficient Noisy Pixels Detection Model for CT Images using Extreme Learning Machines

Çalışkan, Abidin; Çevik, Ulus

doi:10.17559/tv-20171220221947

Cited by 10 publications

(8 citation statements)

References 28 publications

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“…where W i = 1/3 for i = 0, W i = 1/18 for i = 1,…,6 and W i = 1/36 for i = 7,…,18. In addition, ρ 0 is related to the given pressure p 0 (Equation 11), while the unknown velocity u(x p , t) is approximately given by Equation 14. The nonequilibrium part is estimated from the neighboring node at x f = x b + e i δt:…”

Section: Boundary Conditionsmentioning

confidence: 99%

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A voxel image‐based pulmonary airflow simulation method with an automatic detection algorithm for airway outlets

Jiang

Hirano

Ohgi

et al. 2020

Numer Methods Biomed Eng

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Investigations of pulmonary airflows in respiratory systems are important for the diagnostics and treatment of pulmonary diseases. For accurate prediction of the flow field in an airway, a numerical simulation must be conducted using the true geometry from computed tomography (CT) data. Flow simulation is still a difficult task because of the mesh generation process and preprocessing setup procedures. In this study, we developed a voxel image‐based simulation method using an automatic detection algorithm for airway outlets to simplify the simulation process and improve its applicability in the medical field. Our approach is based on the lattice Boltzmann method with a topology analysis algorithm, which can preserve all raw information from the original CT images and give an accurate flow field inside the airways. Our method can reproduce the essential flow features inside airways, is highly efficient, and decreases the overall processing time. Thus, it has a great potential for future real‐time airflow analyses to provide airflow information to medical experts. Highlights This paper proposed a voxel image‐based simulation method with a novel automatic outlet‐selecting algorithm to calculate the velocity and pressure of physiological flows in multi‐generation–branched airways. Our approach simplifies the simulation process by automatically applying the boundary conditions to large numbers of outlets and minimizes the time‐consuming mesh generation process. Our proposed method has considerable potential for real‐time simulations improving the applicability to patient‐specific medical diagnostics and treatments.

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Section: Boundary Conditionsmentioning

confidence: 99%

“…In recent years, the improved performance of multi-slice CT and airway segmentation techniques [14][15][16][17] have made it possible to obtain higher-resolution 3D shapes. However, patient-specific CFD computations remain difficult because of the mesh generation process and setup procedures of numerical simulations.…”

mentioning

confidence: 99%

A voxel image‐based pulmonary airflow simulation method with an automatic detection algorithm for airway outlets

Jiang

Hirano

Ohgi

et al. 2020

Numer Methods Biomed Eng

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“…The eavesdropping process is based on the reconstructed images. Therefore visual method is the main method which is used to search information on these images [23][24][25]. However, the visual analysis is computeraided.…”

Section: Character Error Rate (Cer)mentioning

confidence: 99%

“…11 includes fragments of the reconstructed images. Certainly the quality of the pictures is not good [25][26][27][28]. It is caused by very weak signals and disturbances inside SCA [29].…”

Section: Character Error Rate (Cer)mentioning

confidence: 99%

TEMPEST Font Protects Text Data against RF Electromagnetic Attack

Kubiak

2020

Teh. vjesn.

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Nowadays an electromagnetic penetration process of electronic devices has a big significance. Processed information in electronic form could be protected in different ways. Very often used methods limit the levels of valuable emissions. But such methods could not always be implemented in commercial devices. A new solution (soft tempest) is proposed. The solution is based on TEMPEST font. The font does not possess distinctive features. This phenomenon causes that at an output of Side Channel Attack the possibilities of recognition of each character which appears on the reconstructed image for sources in the form of graphic lines (VGA and DVI) are limited. In this way the TEMPEST font protects processed data against electromagnetic penetration not only for VGA and DVI standards. The data are protected during printing them on laser printers too.

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“…Çalışkan et al [19] proposed an efficient noisy pixel detection model for CT images using extreme learning machines. Several other schemes exist as well [20,21].…”

Section: Other Schemesmentioning

confidence: 99%

An Efficient Feature Extraction Scheme for Mobile Anti-Shake in Augmented Reality

et al. 2018

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Abstract:In recent years, augmented reality on mobile devices has become popular. Mobile shakes are the most typical type of interference in mobile augmented reality. To negate such interference, anti-shake is an urgent requirement. To enhance anti-shake efficiency, we propose an efficient feature extraction scheme for mobile anti-shake in augmented reality. The scheme directly detects corners to avoid the non-extreme constraint such that the efficiency of feature extraction is improved. Meanwhile, the scheme only updates the added corners during mobile shakes, which improves the accuracy of feature extraction. In the experiments, the memory consumption of existing methods is almost double compared to that in our scheme. Further, the runtime of our scheme is only half of the runtime of the existing methods. The experimental results demonstrate that our scheme performs better than the existing classic methods on mobile anti-shake in terms of memory consumption, efficiency, and accuracy.

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An Efficient Noisy Pixels Detection Model for CT Images using Extreme Learning Machines

Cited by 10 publications

References 28 publications

A voxel image‐based pulmonary airflow simulation method with an automatic detection algorithm for airway outlets

A voxel image‐based pulmonary airflow simulation method with an automatic detection algorithm for airway outlets

TEMPEST Font Protects Text Data against RF Electromagnetic Attack

An Efficient Feature Extraction Scheme for Mobile Anti-Shake in Augmented Reality

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