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Instance Segmentation of Biomedical Images with an Object-aware
  Embedding Learned with Local Constraints

Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints

21 April 2020
Long Chen
M. Strauch
Dorit Merhof
ArXiv (abs)PDFHTML

Papers citing "Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints"

17 / 17 papers shown
FISBe: A real-world benchmark dataset for instance segmentation of
  long-range thin filamentous structures
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures
Lisa Mais
Peter Hirsch
Claire Managan
Ramya Kandarpa
J. L. Rumberger
Annika Reinke
Lena Maier-Hein
Gudrun Ihrke
Dagmar Kainmueller
196
0
0
29 Mar 2024
Graph Relation Distillation for Efficient Biomedical Instance
  Segmentation
Graph Relation Distillation for Efficient Biomedical Instance SegmentationPattern Recognition (Pattern Recogn.), 2024
Xiaoyu Liu
Yueyi Zhang
Zhiwei Xiong
Wei-Ping Huang
Bo Hu
Xiaoyan Sun
Feng Wu
303
2
0
12 Jan 2024
Semi-supervised Instance Segmentation with a Learned Shape Prior
Semi-supervised Instance Segmentation with a Learned Shape Prior
Long Chen
Weiwen Zhang
Yuli Wu
M. Strauch
Dorit Merhof
3DPC
200
8
0
09 Sep 2023
A Survey of Computer Vision Technologies In Urban and
  Controlled-environment Agriculture
A Survey of Computer Vision Technologies In Urban and Controlled-environment AgricultureACM Computing Surveys (ACM CSUR), 2022
Jiayun Luo
Boyang Albert Li
Cyril Leung
439
25
0
20 Oct 2022
Spatial-Temporal Deep Embedding for Vehicle Trajectory Reconstruction
  from High-Angle Video
Spatial-Temporal Deep Embedding for Vehicle Trajectory Reconstruction from High-Angle Video
T. Zhang
Peter J. Jin
Han Zhou
B. Piccoli
Ph. D
324
4
0
17 Sep 2022
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance
  Segmentation
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Peixian Liang
Yizhe Zhang
Yifan Ding
Jianxu Chen
C. S. Madukoma
Tim Weningerc
J. Shrout
Benlin Liu
166
11
0
02 Jun 2022
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A surveyArtificial Intelligence Review (AIR), 2021
Narinder Singh Punn
Sonali Agarwal
SSeg
463
213
0
09 Jul 2021
Instance segmentation with the number of clusters incorporated in
  embedding learning
Instance segmentation with the number of clusters incorporated in embedding learningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Jianfeng Cao
Hong-Mei Yan
SSeg
159
1
0
27 Mar 2021
CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation
CPP-Net: Context-aware Polygon Proposal Network for Nucleus SegmentationIEEE Transactions on Image Processing (TIP), 2021
Shengcong Chen
Changxing Ding
Minfeng Liu
Jun Cheng
Dacheng Tao
262
97
0
13 Feb 2021
How Shift Equivariance Impacts Metric Learning for Instance Segmentation
How Shift Equivariance Impacts Metric Learning for Instance SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
J. L. Rumberger
Xiaoyan Yu
Peter Hirsch
Melanie Dohmen
Vanessa Emanuela Guarino
Ashkan Mokarian
Lisa Mais
Jan Funke
Dagmar Kainmueller
267
8
0
14 Jan 2021
RDCNet: Instance segmentation with a minimalist recurrent residual
  network
RDCNet: Instance segmentation with a minimalist recurrent residual network
Raphael Ortiz
Gustavo de Medeiros
A. Peters
P. Liberali
Markus Rempfler
ISeg
336
4
0
02 Oct 2020
Joint Object Contour Points and Semantics for Instance Segmentation
Joint Object Contour Points and Semantics for Instance Segmentation
Wenchao Zhang
Chong Fu
Mai Zhu
3DPCISeg
326
5
0
02 Aug 2020
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based
  cell segmentation and tracking
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
Mengyang Zhao
Aadarsh Jha
Quan Liu
Bryan A. Millis
A. Mahadevan-Jansen
Le Lu
Bennett A. Landman
Matthew J. Tyskac
Yuankai Huo
233
10
0
28 Jul 2020
Split and Expand: An inference-time improvement for Weakly Supervised
  Cell Instance Segmentation
Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance Segmentation
Lin Geng Foo
Rui En Ho
Jiamei Sun
Alexander Binder
410
0
0
21 Jul 2020
Improving Pixel Embedding Learning through Intermediate Distance
  Regression Supervision for Instance Segmentation
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
Yuli Wu
Long Chen
Dorit Merhof
147
5
0
13 Jul 2020
PatchPerPix for Instance Segmentation
PatchPerPix for Instance SegmentationEuropean Conference on Computer Vision (ECCV), 2020
Peter Hirsch
Lisa Mais
Dagmar Kainmueller
3DVISeg
435
31
0
21 Jan 2020
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron
  Reconstruction
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron ReconstructionIEEE Transactions on Medical Imaging (TMI), 2019
Kisuk Lee
R. Lu
Kyle L. Luther
H. S. Seung
3DV
365
29
0
21 Sep 2019
1
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