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Tumor Detection From Pixel Sampling of C-SRR Radiation Patterns

Citation Author(s):
Anitha Gopi (Digital University Kerala)
Amal Pramod (Digital University Kerala)
Elizabeth George (Digital University Kerala)
Alex James (Digital University Kerala)
Submitted by:
Alex James
Last updated:
DOI:
10.21227/2ygg-s195
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Abstract

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.

Instructions:

Two classes, one with tumor and another without