Classification of peripheral pulmonary lesions in Endobronchial ultrasonography image using a multi-branch framework and voting ensemble
The utilization of a multi-branch framework and ensemble learning proves to be more effective in addressing data imbalance issues. Furthermore, image transformation based on coordinate systems contributes to optimizing the model's understanding of image structures, which can further enhance performance.
Authors
- Kohei Shikano (ORCID: https://orcid.org/0000-0001-8781-2367)
- Toshiya Nakaguchi (ORCID: https://orcid.org/0000-0002-8348-6178)
- Takahiro Nakajima (ORCID: https://orcid.org/0000-0002-4937-5378)
- Yukihiro Nomura (ORCID: https://orcid.org/0000-0001-6471-9936)
- Huitao Wang (ORCID: https://orcid.org/0009-0008-6299-5855)
Institutions
- Chiba University (JP)
- Dokkyo Medical University (JP)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-09-17
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.111064
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00