Background: Clinical examination and endoscopic biopsy are often not sufficient in the analysis of the evolution of laryngeal cancers. The imaging extension of laryngeal tumors is based on the helical multiband scanner. Aims: Some deep extensions of the initial tumor pathology are only accessible using imaging. This is decisive in the therapeutic choice. It is the same in the case of ganglionic extensions in the management of lymphocytic tumors. The precise identification of these is necessary in the therapeutic orientation. Materials and Methods: In our study, we give an overview of the imaging techniques used in the follow-up of 100 patients at the University Hospital of Setif in Algeria, and the impact of our imaging results on the prognosis and clinical management of these patients. Results: From the results obtained in imaging of these patients, there are findings relating to volumes, shapes, density, location, and extension. These variations are very complex to analyze using conventional mathematical tools. We propose a system that uses artificial intelligence techniques for their analysis. Conclusion: A fuzzy inference system is proposed. The input variables of the system express the tumor characteristics that are mapped to the output variable that expresses the therapeutic protocol to be adopted.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.