General Objective: To 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.
- To robustly identify, analyze, classify, and categorize large amounts of information that allow for the modeling of 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:
Project Director Wilmar Hernández Perdomo.
- Urbano Solis Cartas
- Jorge Luis Valdés González
- Ivan Menes Camejo
- Geremy Andrés Novoa Casanova
Awarded budget: $36500,00
Project status: In progress.
