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Deep Learning for Whole Slide Image Analysis: An Overview

Deep Learning for Whole Slide Image Analysis: An Overview

18 October 2019
Dennis Núñez
Ognjen Arandjelović
Peter D Caie
    MedIm
ArXivPDFHTML

Papers citing "Deep Learning for Whole Slide Image Analysis: An Overview"

50 / 51 papers shown
Title
Identifying regions of interest in whole slide images of renal cell carcinoma
Identifying regions of interest in whole slide images of renal cell carcinoma
Mohammed Lamine Benomar
Nesma Settouti
Eric Debreuve
Xavier Descombes
Damien Ambrosetti
35
0
0
09 Apr 2025
A Prototype-Guided Coarse Annotations Refining Approach for Whole Slide Images
A Prototype-Guided Coarse Annotations Refining Approach for Whole Slide Images
Bingjian Yao
Weiping Lin
Yan He
Zheng Wang
Liangsheng Wang
37
0
0
25 Mar 2025
PATHS: A Hierarchical Transformer for Efficient Whole Slide Image
  Analysis
PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis
Zak Buzzard
Konstantin Hemker
Nikola Simidjievski
M. Jamnik
MedIm
61
0
0
27 Nov 2024
Clustered Patch Embeddings for Permutation-Invariant Classification of
  Whole Slide Images
Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images
R. Gupta
Shounak Das
Amit Sethi
21
0
0
13 Nov 2024
Efficient Whole Slide Image Classification through Fisher Vector
  Representation
Efficient Whole Slide Image Classification through Fisher Vector Representation
R. Gupta
Dadi Dharani
Shambhavi Shanker
Amit Sethi
34
0
0
13 Nov 2024
Multi-Cohort Framework with Cohort-Aware Attention and Adversarial
  Mutual-Information Minimization for Whole Slide Image Classification
Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification
Sharon Peled
Y. Maruvka
Moti Freiman
26
1
0
17 Sep 2024
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial
  Intelligence Evaluation in Histopathology
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology
Pardis Afshar
Sajjad Hashembeiki
Pouya Khani
Emad Fatemizadeh
M. Rohban
24
4
0
29 Aug 2024
Pan-cancer Histopathology WSI Pre-training with Position-aware Masked
  Autoencoder
Pan-cancer Histopathology WSI Pre-training with Position-aware Masked Autoencoder
Kun-Hsuan Wu
Zhiguo Jiang
Kunming Tang
Jun Shi
Fengying Xie
Wei Wang
Haibo Wu
Yushan Zheng
30
1
0
10 Jul 2024
IHC Matters: Incorporating IHC analysis to H&E Whole Slide Image
  Analysis for Improved Cancer Grading via Two-stage Multimodal Bilinear
  Pooling Fusion
IHC Matters: Incorporating IHC analysis to H&E Whole Slide Image Analysis for Improved Cancer Grading via Two-stage Multimodal Bilinear Pooling Fusion
Jun Wang
Yu Mao
Yufei Cui
Nan Guan
Chun Jason Xue
24
1
0
13 May 2024
PD-L1 Classification of Weakly-Labeled Whole Slide Images of Breast
  Cancer
PD-L1 Classification of Weakly-Labeled Whole Slide Images of Breast Cancer
Giacomo Cignoni
C. Scatena
Chiara Frascarelli
N. Fusco
A. Naccarato
G. Fanelli
Alina Sirbu
31
0
0
15 Apr 2024
Focused Active Learning for Histopathological Image Classification
Focused Active Learning for Histopathological Image Classification
Arne Schmidt
Pablo Morales-Álvarez
Lee A.D. Cooper
L. Newberg
A. Enquobahrie
Aggelos K. Katsaggelos
Rafael Molina
30
6
0
06 Apr 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
16
0
0
01 Apr 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
Seeing the random forest through the decision trees. Supporting learning
  health systems from histopathology with machine learning models: Challenges
  and opportunities
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo Gonzalez
Ashirbani Saha
Clinton J.V. Campbell
Peyman Nejat
Cynthia Lokker
Andrew P. Norgan
41
13
0
06 Dec 2023
A transductive few-shot learning approach for classification of digital
  histopathological slides from liver cancer
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer
Aymen Sadraoui
Ségolène Martin
Eliott Barbot
A. Laurent-Bellue
J. Pesquet
Catherine Guettier
Ismail Ben Ayed
MedIm
25
2
0
29 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
30
2
0
17 Nov 2023
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through
  Anomaly Detection
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection
Peyman Nejat
Areej Alsaafin
Ghazal Alabtah
N. Comfere
Aaron Mangold
Dennis Murphree
P. Zot
Saba Yasir
Joaquin J. Garcia
H. R. Tizhoosh
10
1
0
04 Oct 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
26
5
0
01 May 2023
Exploring shared memory architectures for end-to-end gigapixel deep
  learning
Exploring shared memory architectures for end-to-end gigapixel deep learning
Lucas W. Remedios
L. Cai
Samuel W. Remedios
Karthik Ramadass
Aravind Krishnan
...
C. Cui
Shunxing Bao
Lori A. Coburn
Yuankai Huo
Bennett A. Landman
MedIm
VLM
39
0
0
24 Apr 2023
PathRTM: Real-time prediction of KI-67 and tumor-infiltrated lymphocytes
PathRTM: Real-time prediction of KI-67 and tumor-infiltrated lymphocytes
Steven Lapp
E. David
N. Netanyahu
16
2
0
23 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
26
14
0
14 Apr 2023
Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Ruining Deng
Can Cui
Lucas W. Remedios
Shunxing Bao
R. M. Womick
...
Keith T. Wilson
Yaohong Wang
Lori A. Coburn
Bennett A. Landman
Yuankai Huo
21
8
0
01 Apr 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
21
36
0
19 Jan 2023
MGTUNet: An new UNet for colon nuclei instance segmentation and
  quantification
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification
Liangrui Pan
Lian-min Wang
Mingting Liu
Zhujun Xu
Liwen Xu
Shaoliang Peng
29
2
0
20 Oct 2022
Learning Binary and Sparse Permutation-Invariant Representations for
  Fast and Memory Efficient Whole Slide Image Search
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search
S. Hemati
Shivam Kalra
Morteza Babaie
H. R. Tizhoosh
24
10
0
29 Aug 2022
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease
  Diagnosis with Pathological Images
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
Ruining Deng
C. Cui
Lucas W. Remedios
Shunxing Bao
R. M. Womick
...
K. Wilson
Yao Wang
Lori A. Coburn
Bennett A. Landman
Yuankai Huo
31
10
0
15 Aug 2022
Efficient High-Resolution Deep Learning: A Survey
Efficient High-Resolution Deep Learning: A Survey
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
MedIm
21
19
0
26 Jul 2022
Gigapixel Whole-Slide Images Classification using Locally Supervised
  Learning
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
Jingwei Zhang
Xin Zhang
Ke Ma
Rajarsi R. Gupta
Joel H. Saltz
Maria Vakalopoulou
Dimitris Samaras
24
24
0
17 Jul 2022
Stain Based Contrastive Co-training for Histopathological Image Analysis
Stain Based Contrastive Co-training for Histopathological Image Analysis
Bodong Zhang
Beatrice S. Knudsen
Deepika Sirohi
Alessandro Ferrero
Tolga Tasdizen
SSL
23
5
0
24 Jun 2022
Feature Re-calibration based Multiple Instance Learning for Whole Slide
  Image Classification
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification
Philip Chikontwe
S. Nam
H. Go
Meejeong Kim
H. Sung
Sang Hyun Park
12
20
0
22 Jun 2022
FHIST: A Benchmark for Few-shot Classification of Histological Images
FHIST: A Benchmark for Few-shot Classification of Histological Images
Fereshteh Shakeri
Malik Boudiaf
S. Mohammadi
Ivaxi Sheth
Mohammad Havaei
Ismail Ben Ayed
Samira Ebrahimi Kahou
OOD
VLM
28
21
0
31 May 2022
Preparing data for pathological artificial intelligence with
  clinical-grade performance
Preparing data for pathological artificial intelligence with clinical-grade performance
Yuanqing Yang
K. Sun
Yanhua Gao
Kuang-Heng Wang
Gang Yu
OOD
32
1
0
22 May 2022
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid
  Cancer Classification
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
M. Tschuchnig
Philipp Grubmüller
Lea Maria Stangassinger
Christina Kreutzer
S. Couillard-Després
G. Oostingh
Anton Hittmair
M. Gadermayr
11
7
0
22 Apr 2022
From Modern CNNs to Vision Transformers: Assessing the Performance,
  Robustness, and Classification Strategies of Deep Learning Models in
  Histopathology
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
Maximilian Springenberg
A. Frommholz
M. Wenzel
Eva Weicken
Jackie Ma
Nils Strodthoff
MedIm
25
42
0
11 Apr 2022
Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis
  of Gastric Intestinal Metaplasia
Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia
Jon Braatz
Pranav Rajpurkar
Stephanie Zhang
A. Ng
Jeanne Shen
13
4
0
05 Jan 2022
Towards Launching AI Algorithms for Cellular Pathology into Clinical &
  Pharmaceutical Orbits
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits
Amina Asif
K. Rajpoot
David R. J. Snead
F. Minhas
Nasir M. Rajpoot
19
5
0
17 Dec 2021
Magnifying Networks for Images with Billions of Pixels
Magnifying Networks for Images with Billions of Pixels
Neofytos Dimitriou
Ognjen Arandjelovic
21
2
0
12 Dec 2021
PIMIP: An Open Source Platform for Pathology Information Management and
  Integration
PIMIP: An Open Source Platform for Pathology Information Management and Integration
Jialun Wu
Anyu Mao
Xinrui Bao
Haichuan Zhang
Zeyu Gao
Chunbao Wang
Tieliang Gong
Chen Li
20
3
0
09 Nov 2021
Pay Attention with Focus: A Novel Learning Scheme for Classification of
  Whole Slide Images
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images
Shivam Kalra
Mohammed Adnan
S. Hemati
Taher Dehkharghanian
Shahryar Rahnamayan
Hamid Tizhoosh
16
12
0
11 Jun 2021
Conditional Deep Convolutional Neural Networks for Improving the
  Automated Screening of Histopathological Images
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images
Gianluca Gerard
M. Piastra
OOD
MedIm
9
2
0
29 May 2021
A Comprehensive Review of Computer-aided Whole-slide Image Analysis:
  from Datasets to Feature Extraction, Segmentation, Classification, and
  Detection Approaches
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Chen Li
Xintong Li
M. Rahaman
Xirong Li
Hongzan Sun
...
Yong Zhang
Xiaoqi Li
Jian Wu
Yudong Yao
M. Grzegorzek
33
191
0
21 Feb 2021
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by
  the Aid of Paraffin Sections and Generative Adversarial Networks
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks
M. Gadermayr
M. Tschuchnig
Lea Maria Stangassinger
Christina Kreutzer
S. Couillard-Després
G. Oostingh
Anton Hittmair
MedIm
17
5
0
15 Dec 2020
Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast
  Histopathology Images
Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images
S. Wetstein
N. Stathonikos
J. Pluim
Y. Heng
N. T. ter Hoeve
C. Vreuls
P. V. van Diest
M. Veta
11
24
0
07 Oct 2020
Siloed Federated Learning for Multi-Centric Histopathology Datasets
Siloed Federated Learning for Multi-Centric Histopathology Datasets
M. Andreux
Jean Ogier du Terrail
C. Béguier
Eric W. Tramel
FedML
OOD
AI4CE
12
113
0
17 Aug 2020
Visualization for Histopathology Images using Graph Convolutional Neural
  Networks
Visualization for Histopathology Images using Graph Convolutional Neural Networks
M. Sureka
Abhijeet Patil
Deepak Anand
A. Sethi
FAtt
GNN
MedIm
18
36
0
16 Jun 2020
CNN-based Approach for Cervical Cancer Classification in Whole-Slide
  Histopathology Images
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images
Ferdaous Idlahcen
M. Himmi
A. Mahmoudi
15
9
0
28 May 2020
Generative Adversarial Networks in Digital Pathology: A Survey on Trends
  and Future Potential
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
M. Tschuchnig
G. Oostingh
M. Gadermayr
MedIm
AI4CE
GAN
13
88
0
30 Apr 2020
Representation Learning of Histopathology Images using Graph Neural
  Networks
Representation Learning of Histopathology Images using Graph Neural Networks
Mohammed Adnan
Shivam Kalra
Hamid R. Tizhoosh
OOD
16
96
0
16 Apr 2020
Deep learning assessment of breast terminal duct lobular unit
  involution: towards automated prediction of breast cancer risk
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk
S. Wetstein
Allison M. Onken
Christina Luffman
G. Baker
Michael E. Pyle
...
S. Schnitt
J. Pluim
R. Tamimi
Y. Heng
M. Veta
18
29
0
31 Oct 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
25
70
0
08 Sep 2019
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