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eess.IV2025
Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection
Jimi Togni, Romis Attux
This study presents a comparative analysis of methods for detecting COVID-19 infection in radiographic images. The images, sourced from publicly available datasets, were categorize…
eess.IV2021★ 15 cited
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?
Pedro R. A. S. Bassi, Romis Attux
Purpose: we evaluated the generalization capability of deep neural networks (DNNs), trained to classify chest X-rays as Covid-19, normal or pneumonia, using a relatively small and…
eess.IV2020★ 112 cited
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays
Pedro R. A. S. Bassi, Romis Attux
Purpose: We present image classifiers based on Dense Convolutional Networks and transfer learning to classify chest X-ray images according to three labels: COVID-19, pneumonia and…