Methods and tools for inferring medical problems based on body size measurements taken from images
Anthropometric measurements are essential for medical diagnosis and treatment. However, these measurements are often difficult to realize in practice, especially with children, and, as a result, are often imprecise and unreliable. Mobile phones are ubiquitous and being adopted for a variety of uses, including health, in both developed and developing countries.
To respond to this real need and to take advantage of the mobile phone revolution, we are developing methods and tools, using state-of-the-art image processing and machine learning, that can estimate body measures from mobile phone images in a rapid, automatic, reproducible, and accurate manner. Our aim is to develop a robust and easy-to-use mobile application for multiple uses and adapted to countries in the South and North.
This project is led by EssentialTech from the EPFL in collaboration with Terre des Hommes, the Lausanne University Hospital (CHUV), the Data Science Lab, the Signal Processing Lab 5, and the Swiss Data Science Center from the EPFL.
EssentialTech, EPFL, Switzerland
Magali Leyvraz: firstname.lastname@example.org
Place in the Global Health Lab: