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such results show that this hybrid model is useful in lung           [9] D. Sharma and G. Jindal, “Computer aided diagnosis
cancer detection and can be employed in real-world cases.                 system for detection of lung cancer in ct scan images,”
Future improvements to our Hybrid-LCSCDM model could                      International Journal of Computer Electrical Engineer-
involve expanding the dataset for broader coverage of lung                ing, vol. 3, no. 5, p. 714, 2011.
cancer cases integrating advanced deep learning techniques for
improved accuracy. These steps would enhance the model’s            [10] A. Masood and et al., “Computer-assisted decision sup-
effectiveness and its applicability in diverse clinical settings.         port system in pulmonary cancer detection and stage
                                                                          classification on ct images,” Journal of biomedical infor-
              CONFLICT OF INTEREST                                        matics, vol. 79, pp. 117–128, 2018.

The authors have no conflict of relevant interest to this article.  [11] M. L. R. AbdelNabi, M. W. Jasim, H. M. El-Bakry,
                                                                          M. H. N. Taha, and N. E. M. Khalifa, “Breast and colon
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