WoundArch: um sistema de arquitetura híbrida para a segmentação e classificação de feridas crônicas

Abstract

Every year, millions of people are affected by chronic wounds around the world. The wound treatment process is costly and requires nursing professionals to develop activities during patient care, among them: the correct identification and classification of wound tissues. In this way, this work proposes to build a hybrid computational system of two configurations to support the treatment of wounds. The first configuration uses a mobile application to perform the capture, segmentation and classification of the images of wounds. The other configuration has a client-server architecture, the images are captured and segmented in the application and sent, through the Internet, to the web server, which is responsible for classifying the tissue of the wounds. For this, some studies were carried out in the literature, namely: review of scientific articles, applications similar to the one proposed in this work, methods for assessing the efficiency of computer systems and wound classification algorithms. Thus, this work uses the method of segmentation and classification of wound images developed by Marques et al. (Vítor Godeiro Marques 2018) to build the hybrid computational system. An evaluation questionnaire was developed to be applied to nursing specialists at Hospital Universitário Onofre Lopes in order to assess the technical quality of segmentation and classification of wounds. Thus, by means of a survey, we sought to answer the following research question: are the execution time and energy expenditures acceptable by nurses in both configurations of the system?