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Tumor Detection From Pixel Sampling of C-SRR Radiation Patterns

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ieee-dataport.org2025-01-21 收录
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https://ieee-dataport.org/documents/tumor-detection-pixel-sampling-c-srr-radiation-patterns
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C-SRR Radiation Patterns. The pixels from the radiation pattern generated by positioning the C-SRR over the phantom model with and without cancerous tissue were extracted using various window shapes and sizes to form the dataset. For this, pixel sampling operations such as average, minimum, maximum, and median are performed. Pixel reconfiguration to triangle, square, symmetric and asymmetric is also performed. In average pixel sampling, the average value of the pixel color is divided by the total number of pixels. Minimum pixel sampling recognize pixels with the minimum intensity for the chosen data. Maximum intensity pixel and median intensity pixels are also chosen in a similar fashion by pixel sampling and used with various configurations such as triangle, square, symmetric, and asymmetric.

C-SRR 辐射模式。通过将 C-SRR 布置于含有和不含癌组织的幻影模型上,利用多种窗口形状和尺寸提取辐射模式中的像素,以此构建数据集。为此,执行了如平均、最小、最大和中值等像素采样操作。同时,对像素进行三角、正方形、对称和非对称的重新配置。在平均像素采样中,将像素颜色的平均值除以像素总数。最小强度像素采样识别出所选数据的最低强度像素,最大强度像素和中值强度像素也以类似的方式通过像素采样选择,并与三角、正方形、对称和非对称等多种配置相结合。
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