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Self-Supervised Representation Learning using Visual Field Expansion on
  Digital Pathology

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology

7 September 2021
Joseph Boyd
Mykola Liashuha
Eric Deutsch
Nikos Paragios
Stergios Christodoulidis
Maria Vakalopoulou
    MedIm
ArXivPDFHTML

Papers citing "Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology"

10 / 10 papers shown
Title
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov
Loic Le Folgoc
Julien Adam
Anne Buronfosse
Gilles Hayem
Guillaume Hocquet
Pietro Gori
SSL
45
0
0
02 May 2025
Hierarchical Text-to-Vision Self Supervised Alignment for Improved
  Histopathology Representation Learning
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
Hasindri Watawana
Kanchana Ranasinghe
Tariq Mahmood
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
SSL
40
3
0
21 Mar 2024
Rotation-Agnostic Image Representation Learning for Digital Pathology
Rotation-Agnostic Image Representation Learning for Digital Pathology
Saghir Alfasly
A. Shafique
Peyman Nejat
Jibran A. Khan
Areej Alsaafin
Ghazal Alabtah
H. R. Tizhoosh
MedIm
24
6
0
14 Nov 2023
A Dual-branch Self-supervised Representation Learning Framework for
  Tumour Segmentation in Whole Slide Images
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
Hao Wang
E. Ahn
Jinman Kim
28
7
0
20 Mar 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with
  Limited Tumorous Data
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
Yinsheng He
Xingyu Li
MedIm
25
2
0
18 Mar 2023
Precise Location Matching Improves Dense Contrastive Learning in Digital
  Pathology
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology
Jingwei Zhang
S. Kapse
Ke Ma
Prateek Prasanna
Maria Vakalopoulou
Joel H. Saltz
Dimitris Samaras
26
9
0
23 Dec 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
20
56
0
18 Aug 2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic
  Segmentation for Lung Adenocarcinoma
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Chu Han
Xipeng Pan
Lixu Yan
Huan Lin
Bingbing Li
...
Chengda Lu
Xin Chen
C. Liang
Qingling Zhang
Zaiyi Liu
31
26
0
13 Apr 2022
Image Synthesis as a Pretext for Unsupervised Histopathological
  Diagnosis
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
Dejan Štepec
D. Skočaj
MedIm
35
6
0
28 Apr 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,348
0
12 Dec 2018
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