LCMDSCov: A lightweight hybrid COVID-19 classification framework using chest X-ray and CT medical images

Puntos clave

• The hybrid model achieves accurate classification of COVID-19 with diverse imaging modalities, chest X-ray and CT.
• Key metrics indicate the framework's effectiveness, with notable precision and a low false positive rate.
• Assessment using deep learning techniques allows for integration of various medical imaging sources.
• This approach may enable rapid, accurate diagnostics, addressing urgent clinical needs in pandemic settings.