Detecting lung cancer region from CT image using meta-heuristic optimized segmentation approach
Lung tumor detection using computer-aided modeling improves the accuracy of detection and clinical recommendation precision. An optimal tumor detection requires noise reduced computed tomography (CT) images for pixel classification. In this paper, the butterfly optimization algorithm-based K-means...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
World Scientific Publishing Company
2022
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| Online Access: | http://eprints.utem.edu.my/id/eprint/27054/2/0185123062023.PDF http://eprints.utem.edu.my/id/eprint/27054/ https://worldscientific.com/doi/abs/10.1142/S0218001422400018 https://doi.org/10.1142/S0218001422400018 |
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