Deep Learning Models for COVID-19 Classification on CT and X-ray Images
A study proposes using convolutional neural networks (CNN) for computer-aided diagnosis (CAD) of COVID-19 from lung CT and X-ray images. The research employs two X-ray datasets and two CT scan datasets to differentiate between COVID-19 and healthy lungs. The work is motivated by the need for automated screening tools during the pandemic.
Key facts
- The study uses CNN-based models for COVID-19 classification.
- Two X-ray image datasets and two CT scan datasets are used.
- The goal is to differentiate COVID-19 from healthy lung images.
- The research is motivated by the COVID-19 pandemic.
- The work proposes a computer-aided diagnosis (CAD) system.
- Imaging techniques are considered useful for pandemic screening.
- The study aims to replace manual processes with automated AI.
- The paper is published on arXiv with ID 2605.20445.
Entities
Institutions
- arXiv