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2206.07171
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Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey
14 June 2022
A. Aswath
A. Alsahaf
B. Giepmans
George Azzopardi
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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
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
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
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
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
Jeffrey M. Ede
105
80
0
17 Sep 2020
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
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
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
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
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
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
47
748
0
17 Apr 2018
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
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
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
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
219
8,468
0
17 Jun 2017
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
Min Bai
R. Urtasun
ISeg
SSeg
110
523
0
24 Nov 2016
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
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.0K
15,795
0
02 Nov 2015
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
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
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
164
4,892
0
22 Dec 2014
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