Development of a system for the detection of cutaneous leishmaniasis using artificial intelligence
Keywords:
Cutaneus leishmaniasis, early detection, artificial intelligence, image processingAbstract
Leishmaniasis is a parasitic disease spread by the bite of infected mosquitoes of the Lutzomyia genus. Colombia is considered one of the Latin American countries with a high incidence of this, with Cutaneous Leishmaniasis being the most common form, representing a public health problem. , since their lesions can vary widely in appearance and characteristics, making their diagnosis and identification difficult. Currently, there is a need to create a database that documents the lesions of the disease and the history of the affected population in the Norte de Santander department, which is why it is necessary to establish new detection techniques and preliminary diagnosis of the disease. Because conventional techniques may present limitations in terms of sensitivity, specificity and ease of use. This proposal is aimed at the development and implementation of a system for detecting the disease by applying artificial intelligence techniques that can play a role in the early identification of Cutaneous Leishmaniasis, by analyzing the digital signals of skin lesions, and In this way, with the help of the web application created, contribute to the processing and storage of information about this disease, to finally be able to validate the reliability of the learning system through laboratory tests.
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