What is it about?
It is about to develop deep learning-based models to classify and quantify COVID-19-related lung infections.
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Why is it important?
To combat with the COVID-19 spreading.
Perspectives
The proposed networks has superior performance in the segmentation of lung lobes and COVID-19-infected regions in CXRs.
Ramya Jayakumar
Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India
Read the Original
This page is a summary of: DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray images, Journal of X-Ray Science and Technology Clinical Applications of Diagnosis and Therapeutics, April 2024, IOS Press,
DOI: 10.3233/xst-230421.
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