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Semi-Supervised Histology Classification using Deep Multiple Instance
  Learning and Contrastive Predictive Coding

Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding

23 October 2019
Ming Y. Lu
Richard J. Chen
Jingwen Wang
Debora Dillon
Faisal Mahmood
    SSL
ArXivPDFHTML

Papers citing "Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding"

42 / 42 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
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Linhao Qu
Shiman Li
Xiaoyuan Luo
Shaolei Liu
Qinhao Guo
Manning Wang
Zhijian Song
48
0
0
16 Apr 2025
Smooth InfoMax -- Towards easier Post-Hoc interpretability
Smooth InfoMax -- Towards easier Post-Hoc interpretability
Fabian Denoodt
Bart de Boer
José Oramas
21
2
0
23 Aug 2024
Advances in Multiple Instance Learning for Whole Slide Image Analysis:
  Techniques, Challenges, and Future Directions
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions
Jun Wang
Yu Mao
Nan Guan
Chun Jason Xue
37
3
0
18 Aug 2024
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance
  Learning for Whole Slide Image Classification
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
Wenhui Zhu
Xiwen Chen
Peijie Qiu
Aristeidis Sotiras
Abolfazl Razi
Yalin Wang
49
5
0
04 Jul 2024
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image
  Classification
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
Peijie Qiu
Pan Xiao
Wenhui Zhu
Yalin Wang
Aristeidis Sotiras
59
4
0
31 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
45
12
0
10 Oct 2023
Rethinking Multiple Instance Learning for Whole Slide Image
  Classification: A Good Instance Classifier is All You Need
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Linhao Qu
Yingfan Ma
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
VLM
39
20
0
05 Jul 2023
Explainable and Position-Aware Learning in Digital Pathology
Explainable and Position-Aware Learning in Digital Pathology
Milan Aryal
Nasim Yahyasoltani
MedIm
24
0
0
14 Jun 2023
Context-Aware Self-Supervised Learning of Whole Slide Images
Context-Aware Self-Supervised Learning of Whole Slide Images
Milan Aryal
Nasim Yahya Soltani
24
5
0
07 Jun 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt
  Learning for Few-shot Weakly-supervised Whole Slide Image Classification
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Linhao Qu
X. Luo
Kexue Fu
Manning Wang
Zhijian Song
46
22
0
29 May 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
32
4
0
25 May 2023
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole
  Slide Image Classification
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
Litao Yang
Deval Mehta
Sidong Liu
Dwarikanath Mahapatra
A. Di Ieva
Zongyuan Ge
42
5
0
01 May 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
Euijoon Ahn
Jinman Kim
28
8
0
20 Mar 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological
  Images
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images
Tiancheng Lin
Zhimiao Yu
Hongyu Hu
Yi Xu
Changyi Chen
64
81
0
13 Mar 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
37
12
0
02 Mar 2023
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical
  Attention-Guided Multiple Instance Learning for Whole Slide Image
  Classification
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Conghao Xiong
Hao Chen
Joseph J. Y. Sung
Irwin King
MedIm
31
36
0
19 Jan 2023
HistoPerm: A Permutation-Based View Generation Approach for Improving
  Histopathologic Feature Representation Learning
HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning
Joseph DiPalma
Lorenzo Torresani
Saeed Hassanpour
AI4TS
MedIm
27
2
0
13 Sep 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
40
57
0
18 Aug 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized
  Zero Shot Medical Image Classification
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification
Dwarikanath Mahapatra
MedIm
25
2
0
04 Apr 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With
  Self-supervised Learning
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
Weicheng Zhu
C. Fernandez‐Granda
N. Razavian
SSL
16
4
0
23 Mar 2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning
  for Histopathology Whole Slide Image Classification
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Hongrun Zhang
Y. Meng
Yitian Zhao
Yihong Qiao
Xiaoyun Yang
Sarah E Coupland
Yalin Zheng
39
277
0
22 Mar 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
35
84
0
01 Mar 2022
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
28
25
0
10 Dec 2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa
Pang Wei Koh
Tony Lee
Irena Gao
Sang Michael Xie
...
Kate Saenko
Tatsunori Hashimoto
Sergey Levine
Chelsea Finn
Percy Liang
OOD
18
98
0
09 Dec 2021
Multimodal Generalized Zero Shot Learning for Gleason Grading using
  Self-Supervised Learning
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning
Dwarikanath Mahapatra
MedIm
30
5
0
15 Nov 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised
  Learning: Application To Gleason Grade Segmentation
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
Dwarikanath Mahapatra
SSL
44
6
0
01 Oct 2021
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
C. Saillard
Olivier Dehaene
Tanguy Marchand
O. Moindrot
A. Kamoun
B. Schmauch
S. Jégou
43
39
0
13 Sep 2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable
  Multimodal Deep Learning
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning
Richard J. Chen
Ming Y. Lu
Drew F. K. Williamson
Tiffany Y. Chen
Jana Lipkova
...
Maha Shady
Mane Williams
Bumjin Joo
Zahra Noor
Faisal Mahmood
25
13
0
04 Aug 2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival
  Prediction using Patch-based Graph Convolutional Networks
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Richard J. Chen
Ming Y. Lu
Muhammad Shaban
Chengkuan Chen
Tiffany Y. Chen
Drew F. K. Williamson
Faisal Mahmood
3DPC
MedIm
57
153
0
27 Jul 2021
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
30
93
0
20 Jul 2021
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning
  for Whole Slide Image Classification
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
Yash Sharma
A. Shrivastava
L. Ehsan
C. Moskaluk
Sana Syed
Donald E. Brown
20
134
0
19 Mar 2021
Multiple Instance Captioning: Learning Representations from
  Histopathology Textbooks and Articles
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles
Jevgenij Gamper
Nasir M. Rajpoot
27
63
0
08 Mar 2021
Self-supervised driven consistency training for annotation efficient
  histopathology image analysis
Self-supervised driven consistency training for annotation efficient histopathology image analysis
C. Srinidhi
Seung Wook Kim
Fu-Der Chen
Anne L. Martel
SSL
21
109
0
07 Feb 2021
Self-Supervision Closes the Gap Between Weak and Strong Supervision in
  Histology
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene
Axel Camara
O. Moindrot
Axel de Lavergne
P. Courtiol
26
69
0
07 Dec 2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image
  Classification with Self-supervised Contrastive Learning
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Bin Li
Yin Li
K. Eliceiri
9
593
0
17 Nov 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide
  Images
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu
Dehan Kong
Jana Lipkova
Richard J. Chen
Rajendra Singh
Drew F. K. Williamson
Tiffany Y. Chen
Faisal Mahmood
FedML
MedIm
31
169
0
21 Sep 2020
Self-Path: Self-supervision for Classification of Pathology Images with
  Limited Annotations
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
Navid Alemi Koohbanani
Balagopal Unnikrishnan
S. Khurram
Pavitra Krishnaswamy
Nasir M. Rajpoot
SSL
22
164
0
12 Aug 2020
Kernel Self-Attention in Deep Multiple Instance Learning
Kernel Self-Attention in Deep Multiple Instance Learning
Dawid Rymarczyk
Adriana Borowa
Jacek Tabor
Bartosz Zieliñski
SSL
14
5
0
25 May 2020
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and
  Genomic Features for Cancer Diagnosis and Prognosis
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
Richard J. Chen
Ming Y. Lu
Jingwen Wang
Drew F. K. Williamson
S. Rodig
N. Lindeman
Faisal Mahmood
27
400
0
18 Dec 2019
Weakly Supervised Prostate TMA Classification via Graph Convolutional
  Networks
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks
Jingwen Wang
Richard J. Chen
Ming Y. Lu
Alexander S. Baras
Faisal Mahmood
MedIm
33
57
0
29 Oct 2019
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
275
2,553
0
25 Jan 2016
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