COVID-19 Image Segmentation
10 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in COVID-19 Image Segmentation
Libraries
Use these libraries to find COVID-19 Image Segmentation models and implementationsLatest papers with no code
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation
We demonstrate that the widely varying data quality on FL client nodes leads to a sub-optimal centralised FL model for COVID-19 chest CT image segmentation.
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans
Moreover, a multi-scale fusion module is introduced with a pyramid fusion scheme to reduce the semantic gaps between subsequent encoder/decoder modules while facilitating the parallel optimization for efficient gradient propagation.
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation
Chest X-ray is the most common test among medical imaging modalities.
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
We conducted multiple retrospective experiments to analyze the performance of the system in the detection of suspected COVID-19 thoracic CT features and to evaluate evolution of the disease in each patient over time using a 3D volume review, generating a Corona score.
