Back to search

Article

COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization

2020-06-15

Abstract excerpt

<title>Abstract</title> <p>Chest X-rays are playing an important role in the testing and diagnosis of COVID-19 disease in the recent pandemic. However, due to the limited amount of labelled medical images, automated classification of these images for positive and negative cases remains the biggest challenge in their reliable use in diagnosis and disease progression. We applied and implemented a transfer learning...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e4a388e9-0e9f-566b-8cf0-b9e6ab34e65c
DOI
10.21203/rs.3.rs-34534/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localizationDOI 10.21203/rs.3.rs-34534/v1
Select a neighboring publication to make it the new centre.