A deep learning-based automatic segmentation model for diffuse midline glioma with H3K27M alteration
We developed DMG with H3K27M alteration automatic segmentation model based on GANs for the first time. It shows excellent automatic segmentation accuracy and generalizability.
Authors
- Tengyun Chen (ORCID: https://orcid.org/0000-0002-7655-972X)
- Yan Zhang (ORCID: https://orcid.org/0000-0002-6041-4454)
- Yong Deng
- Bowen Huang
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3389/fonc.2025.1602516
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China