2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 2 cited
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review
Harold Brayan Arteaga-Arteaga, Melissa delaPava, Alejandro Mora-Rubio +12
There is a necessity to develop affordable, and reliable diagnostic tools, which allow containing the COVID-19 spreading. Machine Learning (ML) algorithms have been proposed to des…
eess.IV2021
A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection
Melissa delaPava, Hernán Ríos, Francisco J. Rodríguez +2
Diabetic retinopathy (DR) is the result of a complication of diabetes affecting the retina. It can cause blindness, if left undiagnosed and untreated. An ophthalmologist performs t…