General Objective: Support the diagnosis of COVID-19 using an algorithm based on the robust processing of images from dermatological and rheumatic lesions.
Specific objectives
- Describe the dermatological and rheumatic manifestations that most frequently occur during the evolution of COVID-19.
- Build an image bank with clinical and laboratory elements compatible with the identified manifestations.
- Identify, analyze, classify and categorize in a robust way amounts of information that allow modeling clinical behaviors.
- Design processing algorithms to estimate whether images of dermatological and rheumatic manifestations could represent a clinical suspicion of COVID-19.
Participating Institutions:
UDLA, UNACH, ESPOCH, ITSVN.
Participants:
Director of the project Wilmar Hernández Perdomo.
- Urbano Solis Letters
- Jorge Luis Valdes Gonzalez
- Ivan Menes Camejo
- Geremy Andres Novoa Casanova
Awarded budget: $36500,00
Project status: In progress.
