Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation
with Meta-Learning

Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning

31 August 2023

Papers citing "Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning"

18 / 18 papers shown

Title
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Zihang Liu Zhenyu Zhang Hao Tang 24 0 0 11 May 2025
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains Andrea Gajic Sudip Vhaduri OOD VLM 51 0 0 05 Apr 2025
PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation Yiheng Zhong Zihong Luo Chengzhi Liu Feilong Tang Zelin Peng Ming Hu Y. Hu Jionglong Su Zongyuan Geand Imran Razzak MedIm 60 0 0 23 Mar 2025
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation Pengchen Liang Haishan Huang Bin Pu Jianguo Chen Xiang Hua Jing Zhang Weibo Ma Z. Chen Yiwei Li Qing Chang 40 0 0 10 Mar 2025
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining Haoran Wang Lian Huai Wenbin Li Lei Qi Xingqun Jiang Yinghuan Shi MedIm 59 2 0 06 Mar 2025
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation Jiaqi Yang Ye Huang Jingxi Hu Xiangjian He Linlin Shen Guoping Qiu VLM 55 1 0 31 Dec 2024
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation Yao Shen Ziwei Wei Chunmeng Liu Shuming Wei Qi Zhao Kaiyang Zeng Guangyao Li VLM 18 0 0 16 Oct 2024
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM Navyansh Mahla Annie D'souza Shubh Gupta B. Kanekar Kshitij S. Jadhav VLM MedIm 22 2 0 21 Jul 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model Han Gu Haoyu Dong Jichen Yang Maciej Mazurowski MedIm VLM 75 12 0 15 Apr 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding Zhiheng Cheng Qingyue Wei Hongru Zhu Yan Wang Liangqiong Qu Wei Shao Yuyin Zhou MedIm 41 27 0 27 Mar 2024
Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation Chenhui Zhao Liyue Shen VLM 27 3 0 08 Mar 2024
Polyp-SAM: Transfer SAM for Polyp Segmentation Yuheng Li Mingzhe Hu Xiaofeng Yang MedIm 156 82 0 29 Apr 2023
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model Mingzhe Hu Yuheng Li Xiaofeng Yang VLM 139 51 0 27 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 95 286 0 26 Apr 2023
Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation Anjali Balagopal D. Nguyen T. Bai M. Dohopolski Mu-Han Lin Steve B. Jiang OOD 14 1 0 19 Nov 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation A. Makarevich Azade Farshad Vasileios Belagiannis Nassir Navab 44 10 0 18 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017