Covid-19 detection from CT scans using EfficientNet and Attention mechanism

arXiv:2403.11505v1 Announce Type: cross
Abstract: Manual diagnosis and analysis of COVID-19 through the examination of lung Computed Tomography (CT) scan images by physicians tends to result in inefficiency, especially with high patient volumes and numerous images per patient. We address the need for automation by developing a deep learning model-based pipeline for COVID-19 detection from CT scan images of the lungs. The Domain adaptation, Explainability, and Fairness in AI for Medical Image Analysis Workshop and COVID-19 Diagnosis Competition (DEF-AI-MIA COV19D) …

abstract analysis and analysis arxiv attention automation covid covid-19 cs.cv cs.lg deep learning detection diagnosis eess.iv images patient per physicians scans through type