EnSLDe: an enhanced short-range and long-range dependent system for brain tumor classification
In order to validate the model, two public data sets including glioma, meningioma, and pituitary tumor were validated, and good experimental results were obtained, demonstrating the potential of the model EnSLDe in brain tumor classification.
Authors
- Qizhi Fu (ORCID: https://orcid.org/0000-0001-8738-0250)
- Wenna Chen (ORCID: https://orcid.org/0000-0003-2543-8271)
- Xinghua Tan (ORCID: https://orcid.org/0009-0005-3812-533X)
- Ganqin Du (ORCID: https://orcid.org/0000-0001-9097-2505)
- Junqiang Liu (ORCID: https://orcid.org/0000-0002-6723-5491)
- Jincan Zhang (ORCID: https://orcid.org/0000-0002-8317-764X)
- Hongwei Jiang (ORCID: https://orcid.org/0009-0000-2174-4904)
Institutions
- Henan University of Science and Technology (CN)
- First Affiliated Hospital of Henan University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-04-11
- DOI
- https://doi.org/10.3389/fonc.2025.1512739
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.84