Automated diagnosis of pulmonary nodules in 3D PET/CT images using dual-path densely connected networks with cross-modal fusion
The proposed model outperforms state-of-the-art baselines, validating the effectiveness of its feature extraction and multi-level cross-modal interaction strategy. These findings highlight the potential of the proposed model as a robust and reliable tool in clinical settings, capable of supporting intelligent, automated diagnosis of PNs.
Authors
- Zhengxing Man
- Qiang Lin
- Junfeng Mao
- Yongchun Cao
- Xiaodi Huang
- Zhengqi Cai
- Fulu Liao
Institutions
- Minzu University of China (CN)
- Charles Sturt University (AU)
- Chinese People's Liberation Army (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-12-31
- DOI
- https://doi.org/10.21037/qims-2025-1037
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00