Multiple deep learning models based on MRI images in discriminating glioblastoma from solitary brain metastases: a multicentre study
A combination of multi-sequence MR images and a deep learning model can efficiently identify glioblastoma and solitary brain metastases preoperatively, and the deep learning model 3D ResNet-18 has the highest efficacy in identifying the two types of tumours.
Authors
- Chao Kong (ORCID: https://orcid.org/0000-0001-9730-1843)
- Kai Liu (ORCID: https://orcid.org/0000-0001-5951-2164)
- Changsheng Ma (ORCID: https://orcid.org/0000-0003-2258-8530)
- Yong Yin
- Ding Yan (ORCID: https://orcid.org/0000-0002-0960-7744)
Institutions
- Xinjiang Medical University (CN)
- Shandong University (CN)
- Shandong Tumor Hospital (CN)
- Tumor Hospital of Xinjiang Medical University (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1186/s12880-025-01703-3
- Citations
- 6
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 5.05
Funders
- National Natural Science Foundation of China