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Author

Yongchun Cao

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#edge computing Open access Sep 2026

A deep learning framework with directional perception and spatial focusing for enhanced low-dose CT image denoising

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. · 0 citations
Sep 2026

Deep learning-based diagnostic report generation for low-resolution functional medical images via cross-modal visual and textual alignment

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. · 0 citations

Current Medical Imaging

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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