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PseudoEdgeNet: Nuclei Segmentation only with Point Annotations

PseudoEdgeNet: Nuclei Segmentation only with Point Annotations

7 June 2019
Inwan Yoo
Donggeun Yoo
K. Paeng
ArXivPDFHTML

Papers citing "PseudoEdgeNet: Nuclei Segmentation only with Point Annotations"

31 / 31 papers shown
Title
Leveraging Weak Supervision for Cell Localization in Digital Pathology
  Using Multitask Learning and Consistency Loss
Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss
Berke Levent Cesur
Ayse Humeyra Dur Karasayar
Pinar Bulutay
Nilgun Kapucuoglu
Cisel Aydin Mericoz
...
Javidan Osmanli
Burhan Soner Yetkili
Ibrahim Kulac
C. Koyuncu
Cigdem Demir
74
0
0
19 Dec 2024
A Survey on Cell Nuclei Instance Segmentation and Classification:
  Leveraging Context and Attention
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
João D. Nunes
D. Montezuma
Domingos Oliveira
Tania Pereira
Jaime S. Cardoso
49
1
0
26 Jul 2024
A Point-Neighborhood Learning Framework for Nasal Endoscope Image
  Segmentation
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation
Pengyu Jie
Wanquan Liu
Chenqiang Gao
Yihui Wen
Rui He
Pengcheng Li
Jintao Zhang
Deyu Meng
30
0
0
30 May 2024
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions
Ye Zhang
Yifeng Wang
Zijie Fang
Hao Bian
Linghan Cai
Ziyue Wang
Yongbing Zhang
38
3
0
23 Apr 2024
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From
  Traditional Models to Foundation Models
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
Yuyan Shi
Jialu Ma
Jin Yang
Shasha Wang
Yichi Zhang
MedIm
VLM
19
2
0
20 Apr 2024
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels
Yi-Mou Lin
Zeyu Wang
Dong-Ming Zhang
Kwang-Ting Cheng
Hao Chen
50
7
0
15 Jan 2024
Label-efficient Contrastive Learning-based model for nuclei detection
  and classification in 3D Cardiovascular Immunofluorescent Images
Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab
Rebecca A. Deaton
Laura S. Shankman
Gary K. Owens
Donald E. Brown
MedIm
11
1
0
07 Sep 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
26
3
0
26 Jun 2023
Scribble-supervised Cell Segmentation Using Multiscale Contrastive
  Regularization
Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization
Hyunwoo Oh
Kanggeun Lee
Won-Ki Jeong
34
8
0
25 Jun 2023
Application of attention-based Siamese composite neural network in
  medical image recognition
Application of attention-based Siamese composite neural network in medical image recognition
Zihao Huang
Yue Wang
Weixing Xin
Xing Lin
Huizhen Li
Haowen Chen
Yizhen Lao
Xia Chen
19
0
0
19 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
Luyang Luo
Xi Wang
Yi-Mou Lin
Xiaoqi Ma
Andong Tan
R. Chan
V. Vardhanabhuti
W. C. Chu
Kwang-Ting Cheng
Hao Chen
33
50
0
13 Apr 2023
Weakly supervised segmentation with point annotations for histopathology
  images via contrast-based variational model
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model
Hongrun Zhang
Liam Burrows
Y. Meng
Declan Sculthorpe
Abhik Mukherjee
Sarah E Coupland
Ke-long Chen
Yalin Zheng
26
13
0
07 Apr 2023
Topology-Guided Multi-Class Cell Context Generation for Digital
  Pathology
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology
Shahira Abousamra
Rajarsi R. Gupta
Tahsin M. Kurc
Dimitris Samaras
Joel H. Saltz
Chao Chen
MedIm
25
7
0
05 Apr 2023
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for
  Medical Semantic Segmentation
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation
Qing En
Yuhong Guo
15
4
0
17 Dec 2022
Unsupervised Dense Nuclei Detection and Segmentation with Prior
  Self-activation Map For Histology Images
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images
Pingyi Chen
Chenglu Zhu
Zhongyi Shui
Jiatong Cai
S. Zheng
Shichuan Zhang
L. Yang
19
4
0
14 Oct 2022
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative
  Review
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review
Esha Sadia Nasir
Arshi Parvaiz
M. Fraz
26
14
0
26 Aug 2022
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation
  in 3D Cardiovascular Immunofluorescent Images
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab
Yash Sharma
Laura S. Shankman
Gary K. Owens
Donald E. Brown
21
1
0
29 Jul 2022
BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field
  Microscopy Z-Stacks
BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks
Shervin Dehghani
Benjamin Busam
Nassir Navab
A. Nasseri
22
0
0
09 Jun 2022
Weakly Supervised Attended Object Detection Using Gaze Data as
  Annotations
Weakly Supervised Attended Object Detection Using Gaze Data as Annotations
Michele Mazzamuto
Francesco Ragusa
Antonino Furnari
G. Signorello
G. Farinella
23
9
0
14 Apr 2022
Nuclei Segmentation with Point Annotations from Pathology Images via
  Self-Supervised Learning and Co-Training
Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training
Yi Lin
Z. Qu
Hao Chen
Zhongke Gao
Yuexiang Li
Lili Xia
Kai Ma
Yefeng Zheng
Kwang-Ting Cheng
16
25
0
16 Feb 2022
Weakly Supervised Nuclei Segmentation via Instance Learning
Weakly Supervised Nuclei Segmentation via Instance Learning
Weizhen Liu
Qian He
Xuming He
23
17
0
03 Feb 2022
A Light-weight Interpretable Compositional Model for Nuclei Detection
  and Weakly-Supervised Segmentation
A Light-weight Interpretable Compositional Model for Nuclei Detection and Weakly-Supervised Segmentation
Yixiao Zhang
Adam Kortylewski
Qing Liu
Seyoun Park
B. Green
...
Ryan Walk
Sigfredo Soto-Diaz
J. Taube
A. Szalay
Alan Yuille
13
1
0
26 Oct 2021
Multi-Class Cell Detection Using Spatial Context Representation
Multi-Class Cell Detection Using Spatial Context Representation
Shahira Abousamra
David Belinsky
John S. Van Arnam
F. Allard
E. Yee
Rajarsi R. Gupta
Tahsin M. Kurc
Dimitris Samaras
Joel H. Saltz
Chao Chen
30
32
0
10 Oct 2021
SRPN: similarity-based region proposal networks for nuclei and cells
  detection in histology images
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
Yibao Sun
Xingru Huang
Huiyu Zhou
Qianni Zhang
30
31
0
25 Jun 2021
Point-supervised Segmentation of Microscopy Images and Volumes via
  Objectness Regularization
Point-supervised Segmentation of Microscopy Images and Volumes via Objectness Regularization
Shijie Li
Neel Dey
Katharina Bermond
L. Emde
C. Curcio
T. Ach
Guido Gerig
3DPC
23
6
0
09 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
14
58
0
28 Feb 2021
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
13
0
0
21 Jul 2020
NINEPINS: Nuclei Instance Segmentation with Point Annotations
NINEPINS: Nuclei Instance Segmentation with Point Annotations
Ting-An Yen
Hung-Chun Hsu
Pushpak Pati
M. Gabrani
Antonio Foncubierta-Rodríguez
P. Chung
17
4
0
24 Jun 2020
Scribble2Label: Scribble-Supervised Cell Segmentation via
  Self-Generating Pseudo-Labels with Consistency
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency
Hyeonsoo Lee
Won-Ki Jeong
33
111
0
23 Jun 2020
NuClick: A Deep Learning Framework for Interactive Segmentation of
  Microscopy Images
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images
Navid Alemi Koohbanani
Mostafa Jahanifar
Neda Zamani Tajadin
Nasir M. Rajpoot
19
121
0
29 May 2020
An interpretable classifier for high-resolution breast cancer screening
  images utilizing weakly supervised localization
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Yiqiu Shen
Nan Wu
Jason Phang
Jungkyu Park
Kangning Liu
...
Laura Heacock
S. G. Kim
Linda Moy
Kyunghyun Cho
Krzysztof J. Geras
21
167
0
13 Feb 2020
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