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Machine learning methods for histopathological image analysis
v1v2 (latest)

Machine learning methods for histopathological image analysis

4 September 2017
D. Komura
S. Ishikawa
ArXiv (abs)PDFHTML

Papers citing "Machine learning methods for histopathological image analysis"

50 / 91 papers shown
Title
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with
  Spatial Transcriptomics
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics
Kaichen Xu
Qilong Wu
Yan Lu
Yinan Zheng
W. Li
Xingjie Tang
Jun Wang
Xiaobo Sun
128
1
0
14 Dec 2024
Contrastive Deep Learning Reveals Age Biomarkers in Histopathological
  Skin Biopsies
Contrastive Deep Learning Reveals Age Biomarkers in Histopathological Skin Biopsies
Kaustubh Chakradeo
Pernille Nielsen
Lise Mette Rahbek Gjerdrum
Gry Sahl Hansen
D. Duchêne
Laust H Mortensen
Majken K Jensen
Samir Bhatt
86
1
0
25 Nov 2024
A Hyperspectral Imaging Dataset and Methodology for Intraoperative
  Pixel-Wise Classification of Metastatic Colon Cancer in the Liver
A Hyperspectral Imaging Dataset and Methodology for Intraoperative Pixel-Wise Classification of Metastatic Colon Cancer in the Liver
I. Kopriva
Dario Sitnik
Laura-Isabelle Dion-Bertrand
Marija Milković Periša
Mirko Hadžija
Marijana Popović Hadžija
54
0
0
11 Nov 2024
MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification
MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification
Mingxi Ouyang
Yuqiu Fu
Renao Yan
Shanshan Shi
Xitong Ling
Lianghui Zhu
Yonghong He
Tian Guan
67
4
0
23 Aug 2024
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation
Mingya Zhang
Liang Wang
Zhihao Chen
Yiyuan Ge
Xianping Tao
VLMMedIm
83
3
0
07 Aug 2024
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly
  Supervised Deep Learning
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning
Saul Fuster
Umay Kiraz
T. Eftestøl
Emiel A. M. Janssen
K. Engan
57
2
0
24 May 2024
Source-Free Domain Adaptation of Weakly-Supervised Object Localization
  Models for Histology
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology
Alexis Guichemerre
Soufiane Belharbi
Tsiry Mayet
Shakeeb Murtaza
Pourya Shamsolmoali
Luke McCaffrey
Eric Granger
OOD
77
3
0
29 Apr 2024
SPLICE -- Streamlining Digital Pathology Image Processing
SPLICE -- Streamlining Digital Pathology Image Processing
Areej Alsaafin
Peyman Nejat
A. Shafique
Jibran A. Khan
Saghir Alfasly
Ghazal Alabtah
H. R. Tizhoosh
37
3
0
26 Apr 2024
Implementation and Evaluation of a Gradient Descent-Trained Defensible
  Blackboard Architecture System
Implementation and Evaluation of a Gradient Descent-Trained Defensible Blackboard Architecture System
Jordan Milbrath
Jonathan Rivard
Jeremy Straub
58
1
0
17 Apr 2024
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling
  Learning Differences Between Natural and Medical Images
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Nicholas Konz
Maciej A. Mazurowski
76
7
0
16 Jan 2024
Performance of externally validated machine learning models based on
  histopathology images for the diagnosis, classification, prognosis, or
  treatment outcome prediction in female breast cancer: A systematic review
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
Ricardo Gonzalez
Peyman Nejat
Ashirbani Saha
Clinton J.V. Campbell
Andrew P. Norgan
Cynthia Lokker
62
5
0
09 Dec 2023
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
76
15
0
06 Dec 2023
Generalizing to Unseen Domains in Diabetic Retinopathy Classification
Generalizing to Unseen Domains in Diabetic Retinopathy Classification
Chamuditha Jayanga Galappaththige
Gayal Kuruppu
Muhammad Haris Khan
OOD
82
7
0
26 Oct 2023
Prominent Roles of Conditionally Invariant Components in Domain
  Adaptation: Theory and Algorithms
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
Keru Wu
Yuansi Chen
Wooseok Ha
Ting Yu
CML
85
2
0
19 Sep 2023
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for
  Histopathological Image Segmentation
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation
Vishnuvardhan Purma
Suhas Srinath
Seshan Srirangarajan
A. Kakkar
Prathosh A.P.
MedImDiffM
52
2
0
04 Sep 2023
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital
  Pathology
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology
Jingwei Zhang
Ke Ma
S. Kapse
Joel H. Saltz
Maria Vakalopoulou
Prateek Prasanna
Dimitris Samaras
VLMMedIm
100
38
0
12 Jul 2023
Reconstruction, forecasting, and stability of chaotic dynamics from
  partial data
Reconstruction, forecasting, and stability of chaotic dynamics from partial data
Elise Özalp
G. Margazoglou
Luca Magri
AI4TS
90
12
0
24 May 2023
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in
  Histopathology
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology
Pooria Mazaheri
Azam Asilian Bidgoli
Shahryar Rahnamayan
H. R. Tizhoosh
OOD
58
6
0
15 Apr 2023
Supervised Contrastive Learning with Heterogeneous Similarity for
  Distribution Shifts
Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts
Takuro Kutsuna
34
1
0
07 Apr 2023
Imbalanced Domain Generalization for Robust Single Cell Classification
  in Hematological Cytomorphology
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
Rao Muhammad Umer
A. Gruber
Sayedali Shetab Boushehri
Christian Metak
Carsten Marr
OOD
49
6
0
14 Mar 2023
AugDiff: Diffusion based Feature Augmentation for Multiple Instance
  Learning in Whole Slide Image
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image
Zhucheng Shao
Liuxi Dai
Yifeng Wang
Haoqian Wang
Yongbing Zhang
MedImDiffM
217
0
0
11 Mar 2023
Active Learning Based Domain Adaptation for Tissue Segmentation of
  Histopathological Images
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images
Saul Fuster
Farbod Khoraminia
T. Eftestøl
T. Zuiverloon
K. Engan
21
2
0
09 Mar 2023
From slides (through tiles) to pixels: an explainability framework for
  weakly supervised models in pre-clinical pathology
From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology
Marco Bertolini
Van-Khoa Le
Jake Pencharz
A. Poehlmann
Djork-Arné Clevert
Santiago D. Villalba
F. Montanari
62
0
0
03 Feb 2023
Deep Neural Networks integrating genomics and histopathological images
  for predicting stages and survival time-to-event in colon cancer
Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer
Olalekan Ogundipe
Zeyneb Kurt
Wai Lok Woo
42
1
0
13 Dec 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical
  Images
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala
Marco Aversa
Gabriel Nobis
Kurt Willis
Yoan Neuenschwander
...
E. Pomarico
Wojciech Samek
Roderick Murray-Smith
Christoph Clausen
B. Sanguinetti
95
6
0
04 Nov 2022
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
54
2
0
20 Oct 2022
Uncertainty estimation for out-of-distribution detection in
  computational histopathology
Uncertainty estimation for out-of-distribution detection in computational histopathology
Lea Goetz
OOD
74
0
0
18 Oct 2022
Gated Domain Units for Multi-source Domain Generalization
Gated Domain Units for Multi-source Domain Generalization
Simon Foll
Alina Dubatovka
Eugen Ernst
Siu Lun Chau
Martin Maritsch
Patrik Okanovic
Gudrun Thater
J. M. Buhmann
Felix Wortmann
Krikamol Muandet
OOD
140
4
0
24 Jun 2022
Modeling the Data-Generating Process is Necessary for
  Out-of-Distribution Generalization
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur
Emre Kıcıman
Amit Sharma
UQCVOOD
80
27
0
15 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
OODVLM
89
23
0
31 May 2022
Multi stain graph fusion for multimodal integration in pathology
Multi stain graph fusion for multimodal integration in pathology
Chaitanya Dwivedi
Shima Nofallah
Maryam Pouryahya
Janani Iyer
K. Leidal
...
T. Watkins
A. Billin
R. Myers
J. Abel
A. Behrooz
74
18
0
26 Apr 2022
LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation
  of Histopathological Images of Frozen Sections
LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation of Histopathological Images of Frozen Sections
Dario Sitnik
I. Kopriva
MedIm
70
3
0
14 Apr 2022
Rethinking Machine Learning Model Evaluation in Pathology
Rethinking Machine Learning Model Evaluation in Pathology
Syed Ashar Javed
Dinkar Juyal
Zahil Shanis
S. Chakraborty
Harsha Pokkalla
Aaditya (Adi) Prakash
LM&MA
78
12
0
11 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
78
47
0
11 Apr 2022
Deep Interactive Learning-based ovarian cancer segmentation of
  H&E-stained whole slide images to study morphological patterns of BRCA
  mutation
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation
D. J. Ho
M. Chui
Chad M. Vanderbilt
J. Jung
M. Robson
Chan-Sik Park
Jin Roh
Thomas J. Fuchs
111
26
0
28 Mar 2022
Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Prakash Chandra Chhipa
Richa Upadhyay
G. Pihlgren
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSLMedIm
72
19
0
15 Mar 2022
A deep learning pipeline for breast cancer ki-67 proliferation index
  scoring
A deep learning pipeline for breast cancer ki-67 proliferation index scoring
K. Benaggoune
Z. A. Masry
Jian Ma
C. Devalland
L. Mouss
Noureddine Zerhouni
26
6
0
14 Mar 2022
Clustering and classification of low-dimensional data in explicit
  feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of
  a colon in a liver
Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver
Dario Sitnik
I. Kopriva
27
1
0
07 Mar 2022
AI-based Carcinoma Detection and Classification Using Histopathological
  Images: A Systematic Review
AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review
Swathi C. Prabhu
K. Prasad
Antonio Robels-Kelly
Xuequan Lu
108
40
0
18 Jan 2022
Neuroplastic graph attention networks for nuclei segmentation in
  histopathology images
Neuroplastic graph attention networks for nuclei segmentation in histopathology images
Yoav Alon
Huiyu Zhou
GNN
55
3
0
10 Jan 2022
Negative Evidence Matters in Interpretable Histology Image
  Classification
Negative Evidence Matters in Interpretable Histology Image Classification
Soufiane Belharbi
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
107
12
0
07 Jan 2022
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
67
102
0
09 Dec 2021
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning
  Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
C. Abbet
Linda Studer
Andreas Fischer
H. Dawson
I. Zlobec
Behzad Bozorgtabar
Jean-Philippe Thiran
OOD
94
34
0
20 Aug 2021
Fast and Scalable Image Search For Histology
Fast and Scalable Image Search For Histology
Chengkuan Chen
Ming Y. Lu
Drew F. K. Williamson
Tiffany Y. Chen
A. J. Schaumberg
Faisal Mahmood
34
2
0
28 Jul 2021
Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain
  Invariant Representations of Histopathology Images
Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images
A. Moyes
R. Gault
Kuncai Zhang
J. Ming
Danny Crookes
Jing Wang
OOD
24
0
0
15 Jul 2021
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in
  Lymphoid Neoplasms
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
Pingjun Chen
M. Aminu
Siba El Hussein
J. Khoury
Jia Wu
64
4
0
30 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
154
33
0
03 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
OODMedIm
21
2
0
29 May 2021
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the
  Semantic Segmentation of Gleason Grades in Prostate Histology Images
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images
Julio Silva-Rodríguez
Adrián Colomer
Valery Naranjo
92
43
0
21 May 2021
Self-learning for weakly supervised Gleason grading of local patterns
Self-learning for weakly supervised Gleason grading of local patterns
Julio Silva-Rodríguez
Adrián Colomer
Jose Dolz
Valery Naranjo
48
33
0
21 May 2021
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