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Self supervised learning improves dMMR/MSI detection from histology
  slides across multiple cancers

Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers

13 September 2021
C. Saillard
Olivier Dehaene
Tanguy Marchand
O. Moindrot
A. Kamoun
B. Schmauch
S. Jégou
ArXivPDFHTML

Papers citing "Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers"

24 / 24 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
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach
  for Whole Slide Image Classification
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification
Heng Fang
Shengyue Huang
Wenhao Tang
Luwen Huangfu
Bo Liu
VLM
16
1
0
25 Jul 2024
Towards Large-Scale Training of Pathology Foundation Models
Towards Large-Scale Training of Pathology Foundation Models
kaiko.ai
N. Aben
Edwin D. de Jong
Ioannis Gatopoulos
Nicolas Kanzig
Mikhail Karasikov
Axel Lagré
Roman Moser
J. Doorn
Fei Tang
MedIm
AI4CE
37
9
0
24 Mar 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in
  Computational Pathology
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
Wenhao Tang
Fengtao Zhou
Shengyue Huang
Xiang Zhu
Yi Zhang
Bo Liu
42
20
0
27 Feb 2024
CIMIL-CRC: a clinically-informed multiple instance learning framework
  for patient-level colorectal cancer molecular subtypes classification from
  H\&E stained images
CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images
Hadar Hezi
Matan Gelber
Alexander Balabanov
Y. Maruvka
Moti Freiman
23
3
0
29 Jan 2024
Distilling Local Texture Features for Colorectal Tissue Classification
  in Low Data Regimes
Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes
Dmitry Demidov
Roba Al Majzoub
Amandeep Kumar
Fahad Khan
21
1
0
02 Jan 2024
A General-Purpose Self-Supervised Model for Computational Pathology
A General-Purpose Self-Supervised Model for Computational Pathology
Richard J. Chen
Tong Ding
Ming Y. Lu
Drew F. K. Williamson
Guillaume Jaume
...
Judy J. Wang
Walt Williams
L. Le
Georg Gerber
Faisal Mahmood
MedIm
20
42
0
29 Aug 2023
SLPD: Slide-level Prototypical Distillation for WSIs
SLPD: Slide-level Prototypical Distillation for WSIs
Zhimiao Yu
Tiancheng Lin
Yi Xu
27
6
0
20 Jul 2023
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated
  Learning
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning
Tanguy Marchand
Regis Loeb
Ulysse Marteau-Ferey
Jean Ogier du Terrail
Arthur Pignet
FedML
42
4
0
13 Jun 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised
  Attention Multiple Instance Learning
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang
B. Wessler
M. C. Hughes
22
3
0
25 May 2023
Hierarchical discriminative learning improves visual representations of
  biomedical microscopy
Hierarchical discriminative learning improves visual representations of biomedical microscopy
Cheng Jiang
X. Hou
A. Kondepudi
Asadur Chowdury
C. Freudiger
D. Orringer
Honglak Lee
Todd C. Hollon
26
12
0
02 Mar 2023
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
Giga-SSL: Self-Supervised Learning for Gigapixel Images
Giga-SSL: Self-Supervised Learning for Gigapixel Images
Tristan Lazard
Marvin Lerousseau
Etienne Decencière
Thomas Walter
20
17
0
06 Dec 2022
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A
  Practical Review
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review
Heather D. Couture
40
20
0
27 Nov 2022
An Aggregation of Aggregation Methods in Computational Pathology
An Aggregation of Aggregation Methods in Computational Pathology
M. Bilal
R. Jewsbury
Ruoyu Wang
Hammam M. AlGhamdi
Amina Asif
Mark Eastwood
Nasir M. Rajpoot
32
28
0
02 Nov 2022
Multiple Instance Learning via Iterative Self-Paced Supervised
  Contrastive Learning
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
Kangning Liu
Weicheng Zhu
Yiqiu Shen
Sheng Liu
N. Razavian
Krzysztof J. Geras
C. Fernandez‐Granda
SSL
28
24
0
17 Oct 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
25
56
0
18 Aug 2022
Global-Local Self-Distillation for Visual Representation Learning
Global-Local Self-Distillation for Visual Representation Learning
Tim Lebailly
Tinne Tuytelaars
SSL
30
6
0
29 Jul 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical
  Self-Supervised Learning
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen
Chengkuan Chen
Yicong Li
Tiffany Y. Chen
A. Trister
Rahul G. Krishnan
Faisal Mahmood
ViT
MedIm
34
406
0
06 Jun 2022
Self-Supervised Vision Transformers Learn Visual Concepts in
  Histopathology
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
Richard J. Chen
Rahul G. Krishnan
MedIm
ViT
30
84
0
01 Mar 2022
Weakly-supervised learning for image-based classification of primary
  melanomas into genomic immune subgroups
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups
Lucy Godson
Navid Alemi Koohbanani
J. Nsengimana
G. Cook
Emily L. Clarke
Darren Treanor
D. Bishop
J. Newton-Bishop
A. Gooya
16
1
0
23 Feb 2022
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD
  classification directly from H&E whole-slide images in colorectal and breast
  cancer
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer
Yoni Schirris
E. Gavves
I. Nederlof
H. Horlings
Jonas Teuwen
25
92
0
20 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,775
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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