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This work is licensed under a Creative Commons Attribution 4.0 International License.
NODULE SEGMENTATION OF LUNG CT SCAN IMAGE USING META-HEURISTIC SEARCH ALGORITHM
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Abstract: Lung cancer is one of the leading causes of death worldwide. Cancer detection in its early stages is critical and a big concern. To locate the lung nodule in CT images, we combine the cuckoo search algorithm with the levy flight method. For nodule segmentation, we use active contouring, and for post-processing, we use MRF (Markov Random Field). For nodule segmentation, we use active contouring.
Keywords: Cuckoo search , CT scan , MRFs, Active Contour, Segmentation.
Keywords: Cuckoo search , CT scan , MRFs, Active Contour, Segmentation.
How to Cite:
[1] Dr. Shanthi Mahesh, Sri Raksha M R, Rachitha A, Vachan Honnudike, βNODULE SEGMENTATION OF LUNG CT SCAN IMAGE USING META-HEURISTIC SEARCH ALGORITHM,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2022.10566
This work is licensed under a Creative Commons Attribution 4.0 International License.