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Segmentation in large-scale cellular electron microscopy with deep
  learning: A literature survey

Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey

14 June 2022
A. Aswath
A. Alsahaf
B. Giepmans
George Azzopardi
ArXivPDFHTML

Papers citing "Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey"

22 / 22 papers shown
Title
Contrastive Learning for Mitochondria Segmentation
Contrastive Learning for Mitochondria Segmentation
Zhili Li
Xuejin Chen
Jie Zhao
Zhiwei Xiong
13
7
0
25 Sep 2021
Stable deep neural network architectures for mitochondria segmentation
  on electron microscopy volumes
Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes
Daniel Franco-Barranco
A. Muñoz-Barrutia
Ignacio Arganda-Carreras
26
25
0
08 Apr 2021
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional
  Network for Mitochondria Segmentation in EM Images
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images
Zhimin Yuan
Xiaofeng Ma
Jiajin Yi
Zhengrong Luo
Jialin Peng
43
24
0
08 Jan 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
188
2,897
0
31 Dec 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
105
80
0
17 Sep 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
88
409
0
23 Apr 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
179
12,065
0
13 Nov 2019
Understanding Deep Learning Techniques for Image Segmentation
Understanding Deep Learning Techniques for Image Segmentation
Swarnendu Ghosh
N. Das
Ishita Das
U. Maulik
SSeg
VLM
44
376
0
13 Jul 2019
GASP, a generalized framework for agglomerative clustering of signed
  graphs and its application to Instance Segmentation
GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation
Alberto Bailoni
Constantin Pape
Nathan Hütsch
Steffen Wolf
T. Beier
Anna Kreshuk
Fred Hamprecht
53
12
0
27 Jun 2019
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
148
2,448
0
06 Sep 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
47
748
0
17 Apr 2018
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSeg
VLM
85
704
0
11 Sep 2017
Semantic Instance Segmentation with a Discriminative Loss Function
Semantic Instance Segmentation with a Discriminative Loss Function
Bert De Brabandere
D. Neven
Luc Van Gool
SSeg
149
444
0
08 Aug 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional
  Networks: Brain Parcellation as a Pretext Task
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Wenqi Li
Guotai Wang
Lucas Fidon
Sebastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
3DV
93
339
0
06 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
219
8,468
0
17 Jun 2017
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Kisuk Lee
J. Zung
Peter H. Li
Viren Jain
H. S. Seung
3DV
54
268
0
31 May 2017
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform for Instance Segmentation
Min Bai
R. Urtasun
ISeg
SSeg
110
523
0
24 Nov 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
76
1,044
0
14 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.0K
15,795
0
02 Nov 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
225
4,173
0
17 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
298
18,587
0
06 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
164
4,892
0
22 Dec 2014
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