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Quantitative Evaluation of Lung Tumor Detection Applied to Axial MR Images
ISSN: 2348 - 2273
Publisher: author
Quantitative Evaluation of Lung Tumor Detection Applied to Axial MR Images
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 2
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 3
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International Category Code (ICC):
ICC-1802
Publisher: International Journal Of Electrical Electronics & Computer..
International Journal Address (IAA):
IAA.ZONE/234855992273
eISSN
:
2348 - 2273
VALID
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Abstract
Segmentation helps in locating different boundaries and objects present in a digital image. During the segmentation process, similar pixel intensities are assigned with the same label for the ease of identification. Several methods and algorithms have been developed for defined and the problems are domain specific. Our aim is to analysis of lung tumor in color and colorless algorithms. In color algorithm such as modified color based K-means clustering and region growing provides better result compared to the colorless algorithms.
