Development of an Application for Mobile Devices to Aid in Diagnosis and Training of Radiologists in Detection of Pneumonia in Childhood -- STRadio

Abstract

The Variations and errors in the interpretation of radiological images have been studied by researchers and the interobserver agreement is a necessary component in a diagnosis, especially in suspected cases of childhood pneumonia. Only the interobserver agreement does not ensure certain accuracy in diagnosis, therefore, the agreement needs to be systematically reviewed and assessed. Computational tools carry fundamental roles in studies related to interpretation of radiological images in order to measure and assess the quality of interpretation. In this context, this article presents the development of a computational tool for mobile devices for analysis/interpretation studies of variations (intra and inter-observer), as well as assist in the education/training of the readings of chest radiographs for pneumonia in childhood.

Fabrizzio Soares

Associate Professor and CS Chair

Fabrizzio Soares is a professor of Computer Science, Information Systems and Software Engineering at INF/UFG. His research interests include Computer Vision, Human Computer Interaction, Machine Learning and Programming topics. He is the leader of the Pixellab group, which develops solutions for accesibilty, Precision Agriculture, and Interactive Systems.