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MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation

MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation

18 September 2021
A. Makarevich
Azade Farshad
Vasileios Belagiannis
Nassir Navab
ArXivPDFHTML

Papers citing "MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation"

6 / 6 papers shown
Title
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures
Yousef Yeganeh
Rui Xiao
Goktug Guvercin
Nassir Navab
Azade Farshad
MedIm
40
0
0
31 Dec 2024
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
27
34
0
15 Aug 2023
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Malik Boudiaf
H. Kervadec
Imtiaz Masud Ziko
Pablo Piantanida
Ismail Ben Ayed
Jose Dolz
VLM
174
187
0
11 Dec 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation
CRNet: Cross-Reference Networks for Few-Shot Segmentation
Weide Liu
Chi Zhang
Guosheng Lin
Fayao Liu
SSeg
149
192
0
24 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard E. Turner
71
89
0
06 Mar 2020
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
323
11,681
0
09 Mar 2017
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