The inherent incompleteness of multi-view data poses significant challenges for conventional clustering methods, particularly those based on bipartite graph construction. Although existing approaches have made notable progress by refining graph architecture, they often overlook the critical role of anchor quality in de...
Xuan Chen, Zhikui Chen, En-Ze Ji et al.· Neural Networks· 0 citations
Low-dose computed tomography (CT) has been increasingly adopted to minimize radiation exposure. However, it often introduces excessive image noise and structural degradation, thereby compromising diagnostic accuracy. Existing deep learning-based denoising methods frequently suffer from over-smoothing and limited...
Qing-Lei Yan, Qiang Lin, Tong-Tong Li et al.· EJNMMI Physics· 0 citations
A unified framework for automatic report generation from SPECT bone scintigrams that integrates domain-adaptive representation learning, fine-grained image–text alignment, and anatomy-guided supervision is proposed, offering a valuable pathway to achieving trustworthy and intelligent diagnostic support within nuclear m...
Tao Song, Qiang Lin, Tong-Tong Li et al.· Applied intelligence (Boston...· 0 citations
The proposed neural architecture search method effectively detects bone metastasis in bone scintigrams and outperforms existing state-of-the-art approaches, demonstrating that incorporating manual network design experience into the architecture search process can significantly improve model performance.
Yongchun Cao, Li-Sen Peng, Qiang Lin et al.· 0 citations
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