Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning
The deep learning model is capable of segmenting and quantitatively predicting PD-L1 expression in H&E-stained digital sections of lung squamous cell carcinoma, which has significant implications for the application and guidance of immune checkpoint inhibitor treatments. And the link to the code is https://github.com/Baron-Huang/PD-L1-prediction-via-HE-image.
Authors
- Peng Feng (ORCID: https://orcid.org/0000-0002-7420-2161)
- Pan Huang (ORCID: https://orcid.org/0000-0001-8158-2628)
- Peng Zhong (ORCID: https://orcid.org/0000-0002-3199-2319)
- Yuan Zhao (ORCID: https://orcid.org/0000-0002-2826-1873)
- Lianhua Zhao (ORCID: https://orcid.org/0000-0001-7178-3661)
- Yan Chen (ORCID: https://orcid.org/0000-0002-2423-7104)
- Qiushi Wang (ORCID: https://orcid.org/0000-0003-1096-9651)
- Hualiang Xiao (ORCID: https://orcid.org/0000-0001-7960-5536)
- Yiying Wang (ORCID: https://orcid.org/0000-0002-0889-2520)
- Peng He (ORCID: https://orcid.org/0000-0002-0983-2837)
- Mingrui Ma (ORCID: https://orcid.org/0000-0003-1304-278X)
- Yangyang Feng (ORCID: https://orcid.org/0000-0003-0598-8727)
- Xixiang Deng (ORCID: https://orcid.org/0009-0004-5577-4887)
- Qiang Ma (ORCID: https://orcid.org/0000-0002-6096-9396)
Institutions
- Army Medical University (CN)
- Xinjiang Medical University (CN)
- Chongqing University (CN)
- Daping Hospital (CN)
- Tumor Hospital of Xinjiang Medical University (CN)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2024-12-20
- DOI
- https://doi.org/10.3389/frai.2024.1452563
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Army Medical University
- Research and Innovation Foundation
- Fundamental Research Funds for the Central Universities