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Original Articles Open Access
In this paper, the characterization of Computer Aided Tomography image is proposed to identify the cancer. Even though, many image processing algorithms were proposed recent years, a simple and novel methodology is proposed in this work. Manual interpretation of the CT image is overcome in this proposed work. Various features are extracted from the CT image of normal lung and malignant lung. Variations in the values are taken into account and the detection is automated.
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Author(s): R Pandian and Lalithakumari S
CT image, features, gray level co occurrence, Lung, Classification