Automated lung cancer diagnosis from chest X-ray images using convolutional neural networks
This approach could significantly improve the accuracy and accessibility of lung cancer detection, making it a viable option in resource-limited settings.
Authors
- Samaa M. Shohieb (ORCID: https://orcid.org/0000-0002-2832-6171)
- Islam R. Abdelmaksoud (ORCID: https://orcid.org/0000-0001-7260-8857)
- Amira Rezk (ORCID: https://orcid.org/0000-0002-7646-4915)
- Ahmed Sharaf (ORCID: https://orcid.org/0000-0003-3352-8920)
- Ahmed Abou Elfetouh
- Aya Aboelghiet
Institutions
- Mansoura University (EG)
- Umm al-Qura University (SA)
- Cairo Higher Institute (EG)
Publication Details
- Journal
- PeerJ Computer Science
- Published
- 2025-09-04
- DOI
- https://doi.org/10.7717/peerj-cs.3145
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Umm Al-Qura University