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'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images

'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images

4 February 2019
Abhijit Guha Roy
Shayan Siddiqui
Sebastian Polsterl
Nassir Navab
Christian Wachinger
ArXivPDFHTML

Papers citing "'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images"

18 / 18 papers shown
Title
Recent Advances in Medical Imaging Segmentation: A Survey
Recent Advances in Medical Imaging Segmentation: A Survey
Fares Bougourzi
Abdenour Hadid
OOD
44
0
0
14 May 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
45
0
0
19 Mar 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
AI4CE
LM&MA
VLM
105
18
0
17 Jan 2025
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
Yazhou Zhu
Minxian Li
Qiaolin Ye
Shidong Wang
Tong Xin
Haofeng Zhang
33
0
0
01 Oct 2024
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with
  the Segment Anything Model
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model
Trevor J. Chan
Aarush Sahni
Jie Li
Alisha Luthra
Amy Fang
Alison Pouch
C. Rajapakse
MedIm
VLM
32
1
0
10 May 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
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
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image
  Segmentation
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation
Zhaoxin Fan
Puquan Pan
Zeren Zhang
C. Chen
Tianyang Wang
Si Zheng
Min Xu
VLM
44
0
0
13 Jul 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
18
1
0
29 May 2023
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Hao Ding
Changchang Sun
Hao Tang
Dawen Cai
Yan Yan
36
45
0
07 Dec 2022
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion
  Segmentation
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation
Along He
Kai Wang
Tao Li
Wang Bo
Hong Kang
Huazhu Fu
29
28
0
31 May 2022
A Unified Framework for Generalized Low-Shot Medical Image Segmentation
  with Scarce Data
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data
H. Cui
Dong Wei
Kai Ma
Shi Gu
Yefeng Zheng
20
39
0
18 Oct 2021
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
Latent Correlation Representation Learning for Brain Tumor Segmentation
  with Missing MRI Modalities
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
27
141
0
13 Apr 2021
Self-Supervision with Superpixels: Training Few-shot Medical Image
  Segmentation without Annotation
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang
C. Biffi
C. L. P. Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
22
205
0
20 Jul 2020
Semi-supervised few-shot learning for medical image segmentation
Semi-supervised few-shot learning for medical image segmentation
A. Fayjie
Reza Azad
M. Pedersoli
C. Kauffmann
Ismail Ben Ayed
Jose Dolz
16
63
0
18 Mar 2020
Mixed-Supervised Dual-Network for Medical Image Segmentation
Mixed-Supervised Dual-Network for Medical Image Segmentation
Duo Wang
Ming Li
N. Ben-Shlomo
C. Corrales
Yu Cheng
Tao Zhang
J. Jayender
19
28
0
24 Jul 2019
Segmentation of Roots in Soil with U-Net
Segmentation of Roots in Soil with U-Net
Abraham George Smith
Jens Petersen
Raghavendra Selvan
C. Rasmussen
13
122
0
28 Feb 2019
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