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Author

Y. Yilihamu

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Conference Aug 2026

Conditional flow matching with coordinate-aware patch training for efficient 3D medical image segmentation

This work proposes a conditional Flow Matching (CFM) based framework for efficient 3D medical image segmentation that maintains competitive segmentation accuracy while achieving an inference time of only 1.14 seconds per volume, offering a clear efficiency advantage over existing generative segmentation methods.

Y. Yilihamu, Jian Xue, Chuang Jia et al. · 0 citations

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