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Rotation Equivariant CNNs for Digital Pathology

Rotation Equivariant CNNs for Digital Pathology

8 June 2018
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
ArXivPDFHTML

Papers citing "Rotation Equivariant CNNs for Digital Pathology"

50 / 118 papers shown
Title
AltCLIP: Altering the Language Encoder in CLIP for Extended Language
  Capabilities
AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
Zhongzhi Chen
Guangyi Liu
Bo-Wen Zhang
Fulong Ye
Qinghong Yang
Ledell Yu Wu
VLM
37
80
0
12 Nov 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model
  Tuning
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian
Daquan Zhou
Jiashi Feng
Xinchao Wang
36
249
0
17 Oct 2022
The Lie Derivative for Measuring Learned Equivariance
The Lie Derivative for Measuring Learned Equivariance
Nate Gruver
Marc Finzi
Micah Goldblum
A. Wilson
18
35
0
06 Oct 2022
Efficient Medical Image Assessment via Self-supervised Learning
Efficient Medical Image Assessment via Self-supervised Learning
Chun-Yin Huang
Qi Lei
Xiaoxiao Li
28
2
0
28 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping
A Simple Strategy to Provable Invariance via Orbit Mapping
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
AAML
3DPC
18
3
0
24 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
28
57
0
18 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and
  Robustness of CLIP
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Thao Nguyen
Gabriel Ilharco
Mitchell Wortsman
Sewoong Oh
Ludwig Schmidt
CLIP
VLM
50
99
0
10 Aug 2022
Learning Visual Representation from Modality-Shared Contrastive
  Language-Image Pre-training
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training
Haoxuan You
Luowei Zhou
Bin Xiao
Noel Codella
Yu Cheng
Ruochen Xu
Shih-Fu Chang
Lu Yuan
CLIP
VLM
27
47
0
26 Jul 2022
Convolutional Bypasses Are Better Vision Transformer Adapters
Convolutional Bypasses Are Better Vision Transformer Adapters
Shibo Jie
Zhi-Hong Deng
VPVLM
21
131
0
14 Jul 2022
Benchmarking the Robustness of Deep Neural Networks to Common
  Corruptions in Digital Pathology
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology
Yunlong Zhang
Yuxuan Sun
Honglin Li
S. Zheng
Chenglu Zhu
L. Yang
OOD
62
27
0
30 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and
  Federated Image Classification
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
Aliaksandra Shysheya
J. Bronskill
Massimiliano Patacchiola
Sebastian Nowozin
Richard Turner
3DH
FedML
46
27
0
17 Jun 2022
Neural Prompt Search
Neural Prompt Search
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
VPVLM
VLM
55
144
0
09 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
Serge Assaad
Carlton Downey
Rami Al-Rfou
Nigamaa Nayakanti
Benjamin Sapp
38
18
0
08 Jun 2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Feng Liang
Yangguang Li
Diana Marculescu
SSL
TPM
ViT
51
22
0
28 May 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
Gregor Bachmann
Lorenzo Noci
Thomas Hofmann
BDL
AAML
82
8
0
27 May 2022
A Classification of $G$-invariant Shallow Neural Networks
A Classification of GGG-invariant Shallow Neural Networks
Devanshu Agrawal
James Ostrowski
19
7
0
18 May 2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented
  Visual Models
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
Chunyuan Li
Haotian Liu
Liunian Harold Li
Pengchuan Zhang
J. Aneja
...
Ping Jin
Houdong Hu
Zicheng Liu
Yong Jae Lee
Jianfeng Gao
47
145
0
19 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
30
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
33
42
0
11 Apr 2022
Parameter-efficient Model Adaptation for Vision Transformers
Parameter-efficient Model Adaptation for Vision Transformers
Xuehai He
Chunyuan Li
Pengchuan Zhang
Jianwei Yang
Qing Guo
30
84
0
29 Mar 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
44
179
0
28 Mar 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General Intelligence
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
31
44
0
17 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
SSL
MedIm
33
19
0
15 Mar 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of
  Pretrained Models to Classification Tasks
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
Nan Ding
Xi Chen
Tomer Levinboim
Soravit Changpinyo
Radu Soricut
30
26
0
10 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLM
OOD
MedIm
27
85
0
02 Mar 2022
Bag of Visual Words (BoVW) with Deep Features -- Patch Classification
  Model for Limited Dataset of Breast Tumours
Bag of Visual Words (BoVW) with Deep Features -- Patch Classification Model for Limited Dataset of Breast Tumours
S. Tripathi
S. Singh
H. Lee
34
6
0
22 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
On the Origins of the Block Structure Phenomenon in Neural Network
  Representations
On the Origins of the Block Structure Phenomenon in Neural Network Representations
Thao Nguyen
M. Raghu
Simon Kornblith
25
14
0
15 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with
  Invariant Integration
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration
M. Rath
A. P. Condurache
25
8
0
08 Feb 2022
HistoKT: Cross Knowledge Transfer in Computational Pathology
HistoKT: Cross Knowledge Transfer in Computational Pathology
Ryan Zhang
Jiadai Zhu
Stephen Yang
Mahdi S. Hosseini
A. Genovese
Lina Chen
C. Rowsell
S. Damaskinos
Sonal Varma
Konstantinos N. Plataniotis
24
9
0
27 Jan 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer
  Learning
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Utku Evci
Vincent Dumoulin
Hugo Larochelle
Michael C. Mozer
30
83
0
10 Jan 2022
SLIP: Self-supervision meets Language-Image Pre-training
SLIP: Self-supervision meets Language-Image Pre-training
Norman Mu
Alexander Kirillov
David Wagner
Saining Xie
VLM
CLIP
63
480
0
23 Dec 2021
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
21
25
0
10 Dec 2021
FLAVA: A Foundational Language And Vision Alignment Model
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh
Ronghang Hu
Vedanuj Goswami
Guillaume Couairon
Wojciech Galuba
Marcus Rohrbach
Douwe Kiela
CLIP
VLM
40
690
0
08 Dec 2021
Selective Synthetic Augmentation with HistoGAN for Improved
  Histopathology Image Classification
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Yuan Xue
Jiarong Ye
Qianying Zhou
L. R. Long
Sameer Kiran Antani
Z. Xue
Carl Cornwell
R. Zaino
K. Cheng
Xiaolei Huang
MedIm
191
102
0
10 Nov 2021
Learning Partial Equivariances from Data
Learning Partial Equivariances from Data
David W. Romero
Suhas Lohit
23
28
0
19 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant
  Representations: How Many Objects can be Linearly Classified Under All
  Possible Views?
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
M. Farrell
Blake Bordelon
Shubhendu Trivedi
Cengiz Pehlevan
18
5
0
14 Oct 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual
  Label Correction
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction
Jiarun Liu
Ruirui Li
Chuan Sun
OOD
NoLa
VLM
27
32
0
11 Sep 2021
How Transferable Are Self-supervised Features in Medical Image
  Classification Tasks?
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
T. Truong
Sadegh Mohammadi
Matthias Lenga
42
45
0
23 Aug 2021
Rotaflip: A New CNN Layer for Regularization and Rotational Invariance
  in Medical Images
Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images
Juan P. Vigueras-Guillén
Joan Lasenby
F. Seeliger
OOD
MedIm
20
2
0
05 Aug 2021
The Benchmark Lottery
The Benchmark Lottery
Mostafa Dehghani
Yi Tay
A. Gritsenko
Zhe Zhao
N. Houlsby
Fernando Diaz
Donald Metzler
Oriol Vinyals
42
89
0
14 Jul 2021
A Systematic Collection of Medical Image Datasets for Deep Learning
A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li
Guangming Zhu
Cong Hua
Mingtao Feng
Basheer Bennamoun
...
Xu Xu
Lin Mei
Liang Zhang
Syed Afaq Ali Shah
Bennamoun
OOD
46
49
0
24 Jun 2021
Scaling Vision with Sparse Mixture of Experts
Scaling Vision with Sparse Mixture of Experts
C. Riquelme
J. Puigcerver
Basil Mustafa
Maxim Neumann
Rodolphe Jenatton
André Susano Pinto
Daniel Keysers
N. Houlsby
MoE
17
575
0
10 Jun 2021
Deep Multi-Resolution Dictionary Learning for Histopathology Image
  Analysis
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis
Nima Hatami
M. Bilal
Nasir M. Rajpoot
22
8
0
01 Apr 2021
Prediction of lung and colon cancer through analysis of
  histopathological images by utilizing Pre-trained CNN models with
  visualization of class activation and saliency maps
Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps
Satvik Garg
Somya Garg
28
61
0
22 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
183
27,846
0
26 Feb 2021
Resolution-Based Distillation for Efficient Histology Image
  Classification
Resolution-Based Distillation for Efficient Histology Image Classification
Joseph DiPalma
A. Suriawinata
L. Tafe
Lorenzo Torresani
Saeed Hassanpour
35
35
0
11 Jan 2021
MS-GWNN:multi-scale graph wavelet neural network for breast cancer
  diagnosis
MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosis
Mo Zhang
Quanzheng Li
15
14
0
29 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
95
1,377
0
14 Dec 2020
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and
  Empirical Studies on Medical Image Classification
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Zhuoning Yuan
Yan Yan
Milan Sonka
Tianbao Yang
AI4TS
MedIm
OOD
21
118
0
06 Dec 2020
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