Authors: Sonit Singh

Published on: May 13, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2405.07674

Summary

• What is new: Introduction of CoVScreen, a new CNN architecture, and the compilation of a large-scale, quality-improved COVID-19 chest X-ray dataset.
• Why this is important: Existing limitations in COVID-19 screening using chest X-rays related to data quality, data imbalance, and evaluation strategies.
• What the research proposes: CoVScreen, an innovative CNN architecture designed to work with a newly curated and pre-processed large-scale COVID-19 chest X-ray dataset.
• Results: Effective screening of COVID-19 infection demonstrated through improved evaluation metrics across various classification scenarios.

Technical Details

Technological frameworks used: CoVScreen

Models used: CNN

Data used: Large-scale curated COVID-19 chest X-ray dataset from multiple public databases

Potential Impact

Healthcare providers, medical imaging companies, and health technology sectors

Want to implement this idea in a business?

We have generated a startup concept here: LungScreenAI.