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Balanced-MixUp for Highly Imbalanced Medical Image Classification

Balanced-MixUp for Highly Imbalanced Medical Image Classification

20 September 2021
Adrian Galdran
G. Carneiro
M. A. G. Ballester
ArXivPDFHTML

Papers citing "Balanced-MixUp for Highly Imbalanced Medical Image Classification"

38 / 38 papers shown
Title
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification
Xiao Wu
Xiaoqing Zhang
Zunjie Xiao
Lingxi Hu
Risa Higashita
Jiang Liu
7
0
0
19 May 2025
Context Aware Grounded Teacher for Source Free Object Detection
Context Aware Grounded Teacher for Source Free Object Detection
Tajamul Ashraf
Rajes Manna
Partha Sarathi Purkayastha
Tavaheed Tariq
Janibul Bashir
25
0
0
21 Apr 2025
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration
Li Pan
Yupei Zhang
Qiushi Yang
Tan Li
Zhen Chen
56
0
0
05 Feb 2025
Anisotropic Diffusion Probabilistic Model for Imbalanced Image
  Classification
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification
Jingyu Kong
Yuan Guo
Yu Wang
Yuping Duan
DiffM
MedIm
36
0
0
22 Sep 2024
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental
  Learning for Limited Biomedical Samples via Semantic Expansion
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
Yifei Yao
Hanrong Zhang
47
1
0
12 Sep 2024
Text-guided Foundation Model Adaptation for Long-Tailed Medical Image
  Classification
Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification
Sirui Li
Li Lin
Yijin Huang
Pujin Cheng
Xiaoying Tang
MedIm
47
1
0
27 Aug 2024
Enhancing Performance for Highly Imbalanced Medical Data via Data
  Regularization in a Federated Learning Setting
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting
Georgios Tsoumplekas
Ilias Siniosoglou
Vasileios Argyriou
Ioannis D. Moscholios
Panagiotis G. Sarigiannidis
OOD
FedML
25
1
0
30 May 2024
Understanding differences in applying DETR to natural and medical images
Understanding differences in applying DETR to natural and medical images
Yanqi Xu
Yiqiu Shen
C. Fernandez‐Granda
Laura Heacock
Krzysztof J. Geras
MedIm
64
2
0
27 May 2024
Harnessing Hierarchical Label Distribution Variations in Test Agnostic
  Long-tail Recognition
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
Zhiyong Yang
Qianqian Xu
Zitai Wang
Sicong Li
Boyu Han
Shilong Bao
Xiaochun Cao
Qingming Huang
33
8
0
13 May 2024
CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object
  Detection
CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection
Mikhail Kennerley
Jian-Gang Wang
B. Veeravalli
R. Tan
54
8
0
28 Mar 2024
Toward Robustness in Multi-label Classification: A Data Augmentation
  Strategy against Imbalance and Noise
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
Hwanjun Song
Minseok Kim
Jae-Gil Lee
51
7
0
12 Dec 2023
Slot-Mixup with Subsampling: A Simple Regularization for WSI
  Classification
Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification
Seongho Keum
Sanghyun Kim
Soojeong Lee
Juho Lee
42
2
0
29 Nov 2023
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data
  Augmentation for Whole Slide Image Classification
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification
M. Gadermayr
Lukas Koller
M. Tschuchnig
Lea Maria Stangassinger
Christina Kreutzer
S. Couillard-Després
G. Oostingh
Anton Hittmair
32
0
0
06 Nov 2023
Domain generalization across tumor types, laboratories, and species --
  insights from the 2022 edition of the Mitosis Domain Generalization Challenge
Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge
Marc Aubreville
N. Stathonikos
T. Donovan
R. Klopfleisch
J. Ganz
...
Yongbing Zhang
Sen Yang
Xiyue Wang
Katharina Breininger
C. Bertram
34
16
0
27 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Aroof Aimen
Arsh Verma
Makarand Tapaswi
N. C. Krishnan
35
0
0
08 Sep 2023
How Can We Tame the Long-Tail of Chest X-ray Datasets?
How Can We Tame the Long-Tail of Chest X-ray Datasets?
Arsh Verma
OOD
34
2
0
08 Sep 2023
Interdisciplinary Fairness in Imbalanced Research Proposal Topic
  Inference: A Hierarchical Transformer-based Method with Selective
  Interpolation
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation
Meng Xiao
Min-Ying Wu
Ziyue Qiao
Yanjie Fu
Zhiyuan Ning
Yi Du
Yuanchun Zhou
38
8
0
04 Sep 2023
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image
  Segmentation
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation
Berke Doga Basaran
Weitong Zhang
Mengyun Qiao
Bernhard Kainz
Paul M. Matthews
Wenjia Bai
MedIm
24
6
0
17 Aug 2023
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
Wongi Park
Inhyuk Park
Sungeun Kim
Jongbin Ryu
OOD
38
7
0
10 Aug 2023
Class-Specific Distribution Alignment for Semi-Supervised Medical Image
  Classification
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang
Jiawei Wu
Tao Wang
Zuoyong Li
Anastasia Ioannou
OOD
50
5
0
29 Jul 2023
Federated Model Aggregation via Self-Supervised Priors for Highly
  Imbalanced Medical Image Classification
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
Marawan Elbatel
Hualiang Wang
Robert Martí
Huazhu Fu
Xiaomeng Li
FedML
40
8
0
27 Jul 2023
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for
  Long-Tailed Medical Image Recognition
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition
Marawan Elbatel
Robert Martí
Xiaomeng Li
AAML
34
10
0
27 May 2023
Infinite Class Mixup
Infinite Class Mixup
Thomas Mensink
Pascal Mettes
29
2
0
17 May 2023
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD
  Progression from OCT
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT
A. Chakravarty
T. Emre
Oliver Leingang
Sophie Riedl
Julia Mai
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
34
1
0
17 Apr 2023
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation
Hee Suk Yoon
Eunseop Yoon
John Harvill
Sunjae Yoon
M. Hasegawa-Johnson
Chang D. Yoo
26
4
0
14 Dec 2022
Noisy Label Classification using Label Noise Selection with Test-Time
  Augmentation Cross-Entropy and NoiseMix Learning
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
Han S. Lee
Haeil Lee
H. Hong
Junmo Kim
NoLa
20
0
0
01 Dec 2022
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a
  Study on Thyroid Cancer Diagnosis
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis
M. Gadermayr
Lukas Koller
M. Tschuchnig
Lea Maria Stangassinger
Christina Kreutzer
S. Couillard-Després
G. Oostingh
Anton Hittmair
37
13
0
10 Nov 2022
Pre-Training Representations of Binary Code Using Contrastive Learning
Pre-Training Representations of Binary Code Using Contrastive Learning
Yifan Zhang
Chen Huang
Yueke Zhang
Kevin Cao
Scott Thomas Andersen
Huajie Shao
Kevin Leach
Yu Huang
50
3
0
11 Oct 2022
Hierarchical MixUp Multi-label Classification with Imbalanced Interdisciplinary Research Proposals
Meng Xiao
Minjie Wu
Ziyue Qiao
Zhiyuan Ning
Yi Du
Yanjie Fu
Yuanchun Zhou
31
2
0
28 Sep 2022
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with
  Extremely Limited Labels
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels
Chenyu You
Weicheng Dai
Fenglin Liu
Yifei Min
Haoran Su
Xiaoran Zhang
Xiaoxiao Li
David A. Clifton
Lawrence H. Staib
James S. Duncan
51
50
0
27 Sep 2022
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New
  Benchmark Study
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
G. Holste
Song Wang
Ziyu Jiang
Thomas C. Shen
George Shih
Ronald M. Summers
Yifan Peng
Zhangyang Wang
LM&MA
47
37
0
29 Aug 2022
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022
  Challenge
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge
H. Gu
Mohammad Haeri
Shuo Ni
Christopher Kazu Williams
Neda Zarrin-Khameh
S. Magaki
Xiangdong Chen
40
7
0
26 Aug 2022
Learning Discriminative Representation via Metric Learning for
  Imbalanced Medical Image Classification
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification
Chenghua Zeng
Huijuan Lu
Kanghao Chen
Ruixuan Wang
Weishi Zheng
32
2
0
14 Jul 2022
An Analysis on Ensemble Learning optimized Medical Image Classification
  with Deep Convolutional Neural Networks
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
Dominik Muller
Iñaki Soto Rey
Frank Kramer
29
56
0
27 Jan 2022
Identifying the key components in ResNet-50 for diabetic retinopathy
  grading from fundus images: a systematic investigation
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation
Yijin Huang
Li Lin
Pujin Cheng
Junyan Lyu
Roger Tam
Xiaoying Tang
29
32
0
27 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A Survey
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
18
559
0
09 Oct 2021
Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion
  Localization in Deep Interpretability Frameworks: Application to Color Fundus
  Images
Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images
C. González-Gonzalo
B. Liefers
Bram van Ginneken
C. I. Sánchez
MedIm
33
29
0
16 Oct 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
310
10,621
0
19 Feb 2017
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