An approach for brain tumour detection based on dual-tree complex Gabor wavelet transform and neural network using Hadoop big data analysis

S, Santhosh Kumar H; Karibasappa, K.

doi:10.1007/s11042-022-13016-6

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Cited by 4 publications

References 38 publications

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Advances in Manta Ray Foraging Optimization: A Comprehensive Survey

Gharehchopogh,

Ghafouri,

Namazi

et al. 2024

J Bionic Eng

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Advances in Manta Ray Foraging Optimization: A Comprehensive Survey

Gharehchopogh,

Ghafouri,

Namazi

et al. 2024

J Bionic Eng

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Generalization of parallel performance for multidimensional finite difference method of PDE problem

Saipol,

Alias,

Nordin

2024

AIP Conference Proceedings

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Semiautomatic contour tracking method for biological object segmentation in thin-section electron microscope images with modified zero DC component–type Gabor wavelets

Maeda

Baba

2023

Microscopy

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In electron microscopic image processing, artificial intelligence (AI) is a powerful method for segmentation. Because creating training data remains time-consuming and burdensome, a simple and accurate segmentation tool, which is effective and does not rely on manual drawings, is necessary to create training data for AI as well as to support immediate image analysis. A Gabor wavelets-based contour tracking method has been devised as a step toward realizing such a tool. Although many papers on Gabor filter-based and Gabor filter-bank-based texture segmentations have been published, previous studies did not apply the Gabor wavelet-based method to straightforwardly detect membrane-like ridges and step edges for segmentation because earlier works used a non-zero DC component-type Gabor wavelets. The DC component has a serious flaw for such detection. Although the DC component can be removed by a formula that satisfies the wavelet theory or by a log-Gabor function, this is not practical for the proposed scheme. Herein we devised modified zero DC component-type Gabor wavelets. The proposed method can practically confine a wavelet within a small image area. This type of Gabor wavelet can appropriately track various contours of organelles appearing in thin section TEM images prepared by the freeze-substitution fixation method. The proposed method not only more accurately tracks ridge and step edge contours but also tracks pattern boundary contours consisting of slightly different image patterns. Simulations verified these results.

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An approach for brain tumour detection based on dual-tree complex Gabor wavelet transform and neural network using Hadoop big data analysis

Cited by 4 publications

References 38 publications

Advances in Manta Ray Foraging Optimization: A Comprehensive Survey

Advances in Manta Ray Foraging Optimization: A Comprehensive Survey

Generalization of parallel performance for multidimensional finite difference method of PDE problem

Semiautomatic contour tracking method for biological object segmentation in thin-section electron microscope images with modified zero DC component–type Gabor wavelets

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