Mobile Application for Anemia Detection through Ocular Conjunctiva Images
Maileth Rivero-Palacio, Wilfredo Alfonso-Morales, Eduardo Francisco Caicedo · 2021
This paper proposes the development of a mobile application for anemia detection using YOLO v5. The app aims to bring an easy diagnosis as support to health-care professionals to know the presence of anemia in children in places where mobile signals are missing (isolated). Here, we present the implementation and inclusion of the YOLO v5 neural network into the app. We used an image dataset obtained from Universidad Peruana Cayetano Heredia, which contains several pictures of children under five years old and their respective prognosis with the blood test. Although YOLO v5 gets good results using a computer, its implementation in a mobile app reduces its performance. Despite this, the app shows a sensitivity of 0,71 and a specificity of 0,89 to predict anemia.