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Few-shot Medical Image Segmentation using a Global Correlation Network
  with Discriminative Embedding

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding

10 December 2020
Liyan Sun
Chenxin Li
Xinghao Ding
Yue Huang
Guisheng Wang
Yizhou Yu
ArXivPDFHTML

Papers citing "Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding"

15 / 15 papers shown
Title
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Felix Burr
Marcel Hoffmann
A. Scherp
SSL
209
0
0
25 Apr 2025
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
Zixuan Zheng
Yilei Shi
Chunlei Li
Jingliang Hu
Xiao Xiang Zhu
Lichao Mou
48
0
0
19 Mar 2025
Few-Shot Object Detection: Research Advances and Challenges
Few-Shot Object Detection: Research Advances and Challenges
Zhimeng Xin
Shiming Chen
Tianxu Wu
Yuanjie Shao
Weiping Ding
Xinge You
ObjD
42
24
0
07 Apr 2024
SegICL: A Multimodal In-context Learning Framework for Enhanced
  Segmentation in Medical Imaging
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging
Lingdong Shen
Fangxin Shang
Xiaoshuang Huang
Yehui Yang
Haifeng Huang
Shiming Xiang
VLM
37
3
0
25 Mar 2024
TransMed: Large Language Models Enhance Vision Transformer for
  Biomedical Image Classification
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification
Kaipeng Zheng
Weiran Huang
Lichao Sun
LM&MA
MedIm
VLM
31
0
0
12 Dec 2023
Partition-A-Medical-Image: Extracting Multiple Representative
  Sub-regions for Few-shot Medical Image Segmentation
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
Yazhou Zhu
Shidong Wang
Tong Xin
Zheng-Wei Zhang
Haofeng Zhang
18
10
0
20 Sep 2023
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical
  Transformer
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer
Yazhou Zhu
Shidong Wang
Tong Xin
Haofeng Zhang
ViT
MedIm
33
14
0
09 Sep 2023
Self-Prompting Large Vision Models for Few-Shot Medical Image
  Segmentation
Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation
Qi Wu
Yuyao Zhang
Marawan Elbatel
VLM
MedIm
32
34
0
15 Aug 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors
  on CT Scans
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans
Zi Chen
Jiazheng Li
Jie Zhao
Yiting Liu
Hongfeng Li
Bin Dong
Lei Tang
Li Zhang
23
1
0
29 May 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with
  Limited Tumorous Data
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
Yinsheng He
Xingyu Li
MedIm
25
2
0
18 Mar 2023
Q-Net: Query-Informed Few-Shot Medical Image Segmentation
Q-Net: Query-Informed Few-Shot Medical Image Segmentation
Qianqian Shen
Yanan Li
Jiyong Jin
B. Liu
OOD
24
26
0
24 Aug 2022
A Unified and Biologically-Plausible Relational Graph Representation of
  Vision Transformers
A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers
Yuzhong Chen
Yu Du
Zhe Xiao
Lin Zhao
Lu Zhang
...
Dajiang Zhu
Tuo Zhang
Xintao Hu
Tianming Liu
Xi Jiang
ViT
27
5
0
20 May 2022
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via
  Poisson Learning
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
Xiaoang Shen
Guokai Zhang
Huilin Lai
Jihao Luo
Jianwei Lu
Ye Luo
27
14
0
26 Aug 2021
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
383
11,700
0
09 Mar 2017
1