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Whole Slide Images based Cancer Survival Prediction using Attention
  Guided Deep Multiple Instance Learning Networks

Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks

23 September 2020
Jiawen Yao
Xinliang Zhu
J. Jonnagaddala
Nicholas J Hawkins
Junzhou Huang
ArXivPDFHTML

Papers citing "Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks"

50 / 54 papers shown
Title
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
Mingcheng Qu
Guang Yang
Donglin Di
Tonghua Su
Yue Gao
Yang Song
Lei Fan
22
0
0
17 May 2025
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
Yicheng Song
Tiancheng Lin
Die Peng
Su Yang
Yi Xu
MedIm
36
0
0
10 May 2025
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
VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction
VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction
Zizhi Chen
Minghao Han
Xukun Zhang
Shuwei Ma
Tao Liu
Xing Wei
Li Zhang
54
0
0
25 Mar 2025
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
Jiuyang Dong
Junjun Jiang
Kui Jiang
Jiahan Li
Yongbing Zhang
56
0
0
28 Feb 2025
Rethinking Transformer for Long Contextual Histopathology Whole Slide
  Image Analysis
Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis
Honglin Li
Yunlong Zhang
Pingyi Chen
Zhongyi Shui
Chenglu Zhu
Lin Yang
MedIm
62
4
0
18 Oct 2024
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records
Shuai Jiang
Christina Robinson
Joseph Anderson
William Hisey
Lynn Butterly
A. Suriawinata
Saeed Hassanpour
24
0
0
13 Oct 2024
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Pei Liu
Luping Ji
Jiaxiang Gou
Bo Fu
Mao Ye
41
2
0
14 Sep 2024
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting
  Cancer Survival Probability Distribution in Whole Slide Images
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images
Zekang Yang
Hong Liu
Xiangdong Wang
29
1
0
30 Jun 2024
FORESEE: Multimodal and Multi-view Representation Learning for Robust
  Prediction of Cancer Survival
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival
Liangrui Pan
Yijun Peng
Yan Li
Yiyi Liang
Liwen Xu
Qingchun Liang
Shaoliang Peng
41
0
0
13 May 2024
Finding Regions of Interest in Whole Slide Images Using Multiple
  Instance Learning
Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning
Martim Afonso
Praphulla M. S. Bhawsar
Monjoy Saha
Jonas S. Almeida
Arlindo L. Oliveira
28
0
0
01 Apr 2024
Integrative Graph-Transformer Framework for Histopathology Whole Slide
  Image Representation and Classification
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
Zhan Shi
Jingwei Zhang
Jun Kong
Fusheng Wang
MedIm
47
3
0
26 Mar 2024
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for
  Whole Slide Image Classification and Captioning
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning
Qifeng Zhou
Wenliang Zhong
Yuzhi Guo
Michael Xiao
Hehuan Ma
Junzhou Huang
54
10
0
13 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
49
21
0
27 Feb 2024
A self-supervised framework for learning whole slide representations
A self-supervised framework for learning whole slide representations
X. Hou
Cheng Jiang
A. Kondepudi
Yiwei Lyu
Asadur Chowdury
Honglak Lee
Todd C. Hollon
MedIm
38
5
0
09 Feb 2024
Long-MIL: Scaling Long Contextual Multiple Instance Learning for
  Histopathology Whole Slide Image Analysis
Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis
Honglin Li
Yunlong Zhang
Chenglu Zhu
Jiatong Cai
Sunyi Zheng
Lin Yang
VLM
48
4
0
21 Nov 2023
Semi-supervised ViT knowledge distillation network with style transfer
  normalization for colorectal liver metastases survival prediction
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction
Mohamed El Amine Elforaici
E. Montagnon
Francisco Perdigon Romero
W. Le
F. Azzi
Dominique Trudel
Bich Nguyen
Simon Turcotte
An Tang
Samuel Kadoury
MedIm
51
2
0
17 Nov 2023
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
39
6
0
14 Nov 2023
Attention-Challenging Multiple Instance Learning for Whole Slide Image
  Classification
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
Yunlong Zhang
Honglin Li
Yuxuan Sun
Sunyi Zheng
Chenglu Zhu
Lin Yang
35
29
0
13 Nov 2023
Classifying Whole Slide Images: What Matters?
Classifying Whole Slide Images: What Matters?
Long Nguyen
Aiden Nibali
Joshua Millward
Zhen He
32
0
0
05 Oct 2023
RoFormer for Position Aware Multiple Instance Learning in Whole Slide
  Image Classification
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification
Etienne Pochet
Rami Maroun
Roger Trullo
MedIm
28
2
0
03 Oct 2023
The Whole Pathological Slide Classification via Weakly Supervised
  Learning
The Whole Pathological Slide Classification via Weakly Supervised Learning
Qiehe Sun
Jiawen Li
Jin Xu
Junru Cheng
Tian Guan
Yonghong He
37
0
0
12 Jul 2023
Multi-Scale Prototypical Transformer for Whole Slide Image
  Classification
Multi-Scale Prototypical Transformer for Whole Slide Image Classification
Saisai Ding
Jun Wang
Juncheng Li
Jun Shi
MedIm
29
17
0
05 Jul 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
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
Lukasz Struski
Dawid Rymarczyk
Arkadiusz Lewicki
R. Sabiniewicz
Jacek Tabor
Bartosz Zieliñski
34
5
0
18 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
Eye tracking guided deep multiple instance learning with dual
  cross-attention for fundus disease detection
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection
Hongyang Jiang
Jingqi Huang
Chen Tang
Xiaoqin Zhang
Mengdi Gao
Jiang-Dong Liu
40
2
0
25 Apr 2023
Masked Pre-Training of Transformers for Histology Image Analysis
Masked Pre-Training of Transformers for Histology Image Analysis
Shuai Jiang
Liesbeth Hondelink
A. Suriawinata
Saeed Hassanpour
MedIm
31
15
0
14 Apr 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
Multi-Scale Relational Graph Convolutional Network for Multiple Instance
  Learning in Histopathology Images
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images
Roozbeh Bazargani
L. Fazli
L. Goldenberg
M. Gleave
A. Bashashati
Septimiu Salcudean
MedIm
41
7
0
17 Dec 2022
Attention-based Multiple Instance Learning for Survival Prediction on
  Lung Cancer Tissue Microarrays
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays
Jonas Ammeling
L. Schmidt
J. Ganz
T. Niedermair
Christoph Brochhausen-Delius
C. Schulz
Katharina Breininger
Marc Aubreville
25
1
0
15 Dec 2022
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis
  on Whole-Slide Images
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
Pei Liu
Luping Ji
Feng Ye
Bo Fu
36
27
0
13 Dec 2022
Hierarchical Transformer for Survival Prediction Using Multimodality
  Whole Slide Images and Genomics
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics
Chunyuan Li
Xinliang Zhu
Jiawen Yao
Junzhou Huang
MedIm
30
11
0
29 Nov 2022
Language models are good pathologists: using attention-based sequence
  reduction and text-pretrained transformers for efficient WSI classification
Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification
Juan Pisula
Katarzyna Bozek
VLM
MedIm
36
3
0
14 Nov 2022
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide
  Image Classification
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Linhao Qu
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
WSOD
31
59
0
07 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
40
57
0
18 Aug 2022
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image
  Pyramids for Cancer Prognosis
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis
Pei Liu
Bo Fu
Feng Ye
Rui Yang
Bin Xu
Luping Ji
21
24
0
12 Jun 2022
A robust and lightweight deep attention multiple instance learning
  algorithm for predicting genetic alterations
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations
Bangwei Guo
Xingyu Li
Miao Yang
Hong Zhang
Xuesong Xu
MedIm
13
8
0
31 May 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
21
5
0
04 May 2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide
  Images
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
Kevin Thandiackal
Boqi Chen
Pushpak Pati
Guillaume Jaume
Drew F. K. Williamson
M. Gabrani
O. Goksel
22
43
0
26 Apr 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level
  Prediction
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
Tiancheng Lin
Hongteng Xu
Canqian Yang
Yi Xu
32
24
0
20 Apr 2022
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep
  Anchor Attention Learning with Vision Transformer
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer
Xuan Xu
Prateek Prasanna
ViT
MedIm
27
7
0
03 Feb 2022
Multi-Attention Multiple Instance Learning
Multi-Attention Multiple Instance Learning
A. Konstantinov
Lev V. Utkin
28
13
0
11 Dec 2021
Hybrid guiding: A multi-resolution refinement approach for semantic
  segmentation of gigapixel histopathological images
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images
André Pedersen
Erik Smistad
T. V. Rise
V. G. Dale
H. S. Pettersen
T. Nordmo
D. Bouget
Ingerid Reinertsen
Marit Valla
34
3
0
07 Dec 2021
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from
  H&E Images Combining Self-Attention Multiple Instance Learning with a
  Recurrent Neural Network
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network
Esther Dietrich
Patrick Fuhlert
Anne Ernst
G. Sauter
M. Lennartz
H. Stiehl
Marina Zimmermann
Stefan Bonn
28
4
0
26 Nov 2021
A Retrospective Analysis using Deep-Learning Models for Prediction of
  Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III
  Colorectal Cancer
A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer
Xingyu Li
J. Jonnagaddala
Shuhua Yang
Hong Zhang
Xuesong Xu
22
20
0
05 Nov 2021
AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival
  Analysis with Whole Slide Images and Gene Expression Data
AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data
Ruoqi Wang
Ziwang Huang
Haitao Wang
Hejun Wu
25
6
0
28 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
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