Parallel prototype filter and feature refinement for few-shot medical image segmentation
Regular Papers|Updated:2026-01-07
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Parallel prototype filter and feature refinement for few-shot medical image segmentation
并行原型滤波与特征细化在少样本医学图像分割中的应用
“In the field of few-shot medical image segmentation, PPFFR introduces its research progress. Expert researchers established the PPFFR system, which provides solutions to solve the problems of inter-class variation and computational complexity, opening up a new direction for few-shot learning research and laying a foundation for the construction of efficient medical image segmentation systems.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 11, Pages: 2143-2158(2025)
Affiliations:
1.School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
2.Henan Investment Group Ltd., Zhengzhou 450008, China
Haoxiang ZHU, Houjin CHEN, Yanfeng LI, et al. Parallel prototype filter and feature refinement for few-shot medical image segmentation[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2143-2158.
DOI:
Haoxiang ZHU, Houjin CHEN, Yanfeng LI, et al. Parallel prototype filter and feature refinement for few-shot medical image segmentation[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2143-2158. DOI: 10.1631/FITEE.2500304.
Parallel prototype filter and feature refinement for few-shot medical image segmentation