Identification of cancerous microscopic colonic images using neural networks
Research has been undertaken over the past two decades in an effort to automate cancer diagnosis. Investigations in the classification of microscopic images of colonic mucosa have shown that textural features derived from grey-level co-occurrence matrices (GLCMs) are very useful. In this paper, the...
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Main Authors: | , , , |
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Format: | text |
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Animo Repository
2008
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Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/5860 |
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Institution: | De La Salle University |