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Unsupervised Segmentation of 3D Medical Images Based on Clustering and
  Deep Representation Learning

Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning

11 April 2018
Takayasu Moriya
H. Roth
S. Nakamura
H. Oda
Kai Nagara
M. Oda
K. Mori
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning"

11 / 11 papers shown
Title
Self-supervised Semantic Segmentation: Consistency over Transformation
Self-supervised Semantic Segmentation: Consistency over Transformation
Sanaz Karimijafarbigloo
Reza Azad
Amirhossein Kazerouni
Yury Velichko
Ulas Bagci
Dorit Merhof
69
5
0
31 Aug 2023
Unsupervised Discovery of 3D Hierarchical Structure with Generative
  Diffusion Features
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
Nurislam Tursynbek
Marc Niethammer
MedImDiffM
54
6
0
28 Apr 2023
Contrastive Representation Learning for Gaze Estimation
Contrastive Representation Learning for Gaze Estimation
Swati Jindal
Roberto Manduchi
54
13
0
24 Oct 2022
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
Turkay Kart
Wenjia Bai
Ben Glocker
Daniel Rueckert
79
11
0
30 Sep 2021
Physics Driven Domain Specific Transporter Framework with Attention
  Mechanism for Ultrasound Imaging
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
Arpan Tripathi
A. Rakkunedeth
Mahesh Raveendranatha Panicker
Jack Zhang
Naveenjyote Boora
Jessica Knight
Jacob L. Jaremko
Yale Tung Chen
K. Narayan
C. Kesavadas
OODMedIm
86
0
0
13 Sep 2021
A Spatial Guided Self-supervised Clustering Network for Medical Image
  Segmentation
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
Euijoon Ahn
Dagan Feng
Jinman Kim
59
26
0
11 Jul 2021
Annotation-Efficient Learning for Medical Image Segmentation based on
  Noisy Pseudo Labels and Adversarial Learning
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning
Lu Wang
D. Guo
Guotai Wang
Shaoting Zhang
MedImGAN
54
30
0
29 Dec 2020
Machine Learning Techniques for Biomedical Image Segmentation: An
  Overview of Technical Aspects and Introduction to State-of-Art Applications
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo
M. B. Khuzani
V. Vasudevan
Charles Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
VLM
72
226
0
06 Nov 2019
Understanding Deep Learning Techniques for Image Segmentation
Understanding Deep Learning Techniques for Image Segmentation
Swarnendu Ghosh
N. Das
Ishita Das
U. Maulik
SSegVLM
72
378
0
13 Jul 2019
Unsupervised Feature Learning with K-means and An Ensemble of Deep
  Convolutional Neural Networks for Medical Image Classification
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification
Euijoon Ahn
Ashnil Kumar
Dagan Feng
M. Fulham
Jinman Kim
SSLOOD
38
23
0
07 Jun 2019
Mumford-Shah Loss Functional for Image Segmentation with Deep Learning
Mumford-Shah Loss Functional for Image Segmentation with Deep Learning
Boah Kim
J. C. Ye
61
128
0
05 Apr 2019
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