Point of Care Image Analysis for COVID-19

by   Daniel Yaron, et al.

Early detection of COVID-19 is key in containing the pandemic. Disease detection and evaluation based on imaging is fast and cheap and therefore plays an important role in COVID-19 handling. COVID-19 is easier to detect in chest CT, however, it is expensive, non-portable, and difficult to disinfect, making it unfit as a point-of-care (POC) modality. On the other hand, chest X-ray (CXR) and lung ultrasound (LUS) are widely used, yet, COVID-19 findings in these modalities are not always very clear. Here we train deep neural networks to significantly enhance the capability to detect, grade and monitor COVID-19 patients using CXRs and LUS. Collaborating with several hospitals in Israel we collect a large dataset of CXRs and use this dataset to train a neural network obtaining above 90 with ULTRa (Ultrasound Laboratory Trento, Italy) and hospitals in Italy we obtained POC ultrasound data with annotations of the severity of disease and trained a deep network for automatic severity grading.


Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

The need to streamline patient management for COVID-19 has become more p...

Ultrasound Diagnosis of COVID-19: Robustness and Explainability

Diagnosis of COVID-19 at point of care is vital to the containment of th...

Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia

Lung ultrasound imaging has been shown effective in detecting typical pa...

Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging

The new coronavirus 2019 (COVID-2019) has rapidly become a pandemic and ...

ProgNet: Covid-19 prognosis using recurrent and convolutional neural networks

Humanity is facing nowadays a dramatic pandemic episode with the Coronav...

Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification

Developing a robust algorithm to diagnose and quantify the severity of C...

POCFormer: A Lightweight Transformer Architecture for Detection of COVID-19 Using Point of Care Ultrasound

The rapid and seemingly endless expansion of COVID-19 can be traced back...

Please sign up or login with your details

Forgot password? Click here to reset