Aplicação mobile para classificação da varíola dos Macacos

Abstract

While the world is still recovering from the Coronavirus pandemic, there is a new outbreak caused by the monkeypox virus, already reported in 110 countries. The clinical attributes of monkeypox often resemble those of other types of smallpox, detection of monkeypox can facilitate treatment and containment of community spread. Machine learning has shown great potential in medical imaging and disease detection applications. With the growing popularity of mobile applications and with smartphones becoming more accessible to people, applications emerge to solve different types of problems, including proposing alternatives to health issues. Therefore, the present work aimed to develop a multiplatform application for the classification of monkeypox, based on images of diseases that present skin lesions and rashes caused by viruses. For the development of the application, the Flutter framework was used. The results show that the developed application satisfactorily met the proposed objective, pointing out the applicability of the image classification system using TensorFlow Lite in mobile development