Skip to content

Current Medical Imaging

· 0 citations · 47 references

TL;DR

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.

View source

Similar papers

Current Medical Imaging

An improved YOLO11-based detection model incorporating a Mamba-inspired architecture and a Dynamic Upsampling module is adopted in the neck network to improve multi-scale feature fusion and enhance the localization capability for lesion areas.

Jia-Li Jiang, Zhao-xue Chen · 0 citations
Review Open access Aug 2026

A Comprehensive Review of Multimodal Medical Image Fusion: Techniques, Evaluation, and Future Directions

This review provides a comprehensive overview of MMIF from theoretical and technical perspectives and presents current challenges and future development trends of MMIF, including robustness, clinical translation, and emerging multimodal learning paradigms.

Pengquan Han, Cui-Yin Liu, Cuiwei Wang · 0 citations
Feb 2026

Current Medical Imaging

Pelvic MRI fistulogram offers better contrast in soft-tissue and multi-planar image viewing, which are very important for accurate diagnosis and efficient treatment planning, and has become the ultimate choice for the evaluation of RVF.

Faikah Awang, Muhammad Khalis, Abdul Karim et al. · 25 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.