Multitask Swin Transformer for classification and characterization of pulmonary nodules in CT images
The MTST model's efficacy in binary classification, multiclass classification, and feature evaluation confirms its potential as a valuable tool for CAD systems in clinical settings.
Authors
- Renjie Zheng
- Haizhe Jin (ORCID: https://orcid.org/0000-0003-1092-6598)
- Yinan Zhao (ORCID: https://orcid.org/0000-0001-6262-3041)
- Yongyan Fu
- Yu Cheng (ORCID: https://orcid.org/0000-0001-5528-2058)
- Jiahao Zhang
Institutions
- Capital Medical University (CN)
- Liaoning Provincial People's Hospital (CN)
- Xi'an Jiaotong University (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-03-01
- DOI
- https://doi.org/10.21037/qims-24-1619
- Citations
- 4
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.07