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Self-Supervised Nuclei Segmentation in Histopathological Images Using
  Attention

Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention

16 July 2020
M. Sahasrabudhe
Stergios Christodoulidis
R. Salgado
S. Michiels
S. Loi
Fabrice André
Nikos Paragios
Maria Vakalopoulou
ArXivPDFHTML

Papers citing "Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention"

8 / 8 papers shown
Title
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation
Sanghyun Jo
Seo Jin Lee
Seungwoo Lee
Seohyung Hong
Hyungseok Seo
Kyungsu Kim
48
0
0
14 Mar 2025
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot
  Nuclei Detection via Visual-Language Pre-trained Models
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
Yongjian Wu
Yang Zhou
Jiya Saiyin
Bingzheng Wei
M. Lai
Jianzhong Shou
Yan Xu
VLM
MedIm
25
1
0
22 Oct 2024
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
24
27
0
10 Feb 2023
Artifact Removal in Histopathology Images
Artifact Removal in Histopathology Images
Cameron Dahan
Stergios Christodoulidis
Maria Vakalopoulou
Joseph Boyd
MedIm
13
1
0
29 Nov 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
17
56
0
18 Aug 2022
Mapping the landscape of histomorphological cancer phenotypes using
  self-supervised learning on unlabeled, unannotated pathology slides
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides
A. Quiros
N. Coudray
A. Yeaton
Xinyu Yang
Bojing Liu
...
H. Pass
A. Moreira
J. L. Quesne
A. Tsirigos
Ke-Fei Yuan
SSL
13
5
0
04 May 2022
Unsupervised Data-Driven Nuclei Segmentation For Histology Images
Unsupervised Data-Driven Nuclei Segmentation For Histology Images
Vasileios Magoulianitis
Peida Han
Yijing Yang
C.-C. Jay Kuo
18
2
0
14 Oct 2021
Resolution-Based Distillation for Efficient Histology Image
  Classification
Resolution-Based Distillation for Efficient Histology Image Classification
Joseph DiPalma
A. Suriawinata
L. Tafe
Lorenzo Torresani
Saeed Hassanpour
35
35
0
11 Jan 2021
1