Dual-Filter Cross Attention and Onion Pooling Network for Enhanced Few-Shot Medical Image Segmentation

Dual-Filter Cross Attention and Onion Pooling Network for Enhanced Few-Shot Medical Image Segmentation

Few-shot learning has demonstrated remarkable performance in medical image segmentation. However, existing few-shot medical image segmentation (FSMIS) models often struggle to fully utilize query image information, leading to prototype bias and limited generalization ability. To address these issues...

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Bibliographic Details
Main Authors:	Lina Ni, Yang Liu, Zekun Zhang, Yongtao Li, Jinquan Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Sensors
Subjects:	few-shot learning medical image segmentation prototype learning
Online Access:	https://www.mdpi.com/1424-8220/25/7/2176
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