Development and validation of a convolutional neural network for automatic differentiation of primary central nervous system lymphoma and glioblastoma
We successfully developed and validated a robust deep-learning model capable of accurately differentiating PCNSL from GBM. This model provides a reliable, efficient, and cost-effective clinical decision-support tool for differential diagnosis.
Authors
- Qiang Ji (ORCID: https://orcid.org/0000-0002-1769-6118)
- Zhuo Yang (ORCID: https://orcid.org/0000-0001-5212-0053)
- Wenbin Li (ORCID: https://orcid.org/0000-0001-7638-4395)
- Feng Chen (ORCID: https://orcid.org/0000-0002-6366-5064)
- Lili Zhou (ORCID: https://orcid.org/0000-0003-2719-8347)
Institutions
- Capital Medical University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2025-12-04
- DOI
- https://doi.org/10.1186/s40644-025-00967-w
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00