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COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring
In this work, we estimate the severity of pneumonia in COVID-19 patients and conduct a longitudinal study of disease progression.
Coronavirus Detection and Analysis on Chest CT with Deep Learning
The outbreak of the novel coronavirus, officially declared a global pandemic, has a severe impact on our daily lives.
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data
Using HU based segmentation of bone structures in the CT domain, a synthetic 2D "Bone x-ray" DRR is produced and used for training the network.
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.
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset
The recent emergence of a large Chest X-ray dataset opened the possibility for learning features that are specific to the X-ray analysis task.
Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training
Two 2D FCNN architectures were trained to accomplish the task: The first performs 2D lung segmentation which is used for normalization of the lung area.
