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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray
  Classification
v1v2 (latest)

Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

6 March 2018
Ivo M. Baltruschat
H. Nickisch
M. Grass
T. Knopp
A. Saalbach
ArXiv (abs)PDFHTML

Papers citing "Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification"

50 / 76 papers shown
Title
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification
Youssef Mohamed
Noran Mohamed
Khaled Abouhashad
Feilong Tang
Sara Atito
Shoaib Jameel
Imran Razzak
A. Zaky
63
0
0
29 May 2025
Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels
Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels
Snigdha Agarwal
N. Sinha
65
0
0
12 Apr 2025
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
Ashish Verma
Aupendu Kar
Krishnendu Ghosh
S. K. Dhara
Debashis Sen
P. Biswas
MedIm
76
0
0
01 Mar 2025
Fast-staged CNN Model for Accurate pulmonary diseases and Lung cancer
  detection
Fast-staged CNN Model for Accurate pulmonary diseases and Lung cancer detection
Abdelbaki Souid
Mohamed Hamroun
Soufiene Ben Othman
Hedi Sakli
Naceur Abdelkarim
87
0
0
16 Dec 2024
Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI
Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI
Keqiang Fan
Xiaohao Cai
M. Niranjan
MedImDiffM
111
2
0
08 May 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
92
0
0
14 Feb 2024
Review of multimodal machine learning approaches in healthcare
Review of multimodal machine learning approaches in healthcare
"Felix H. Krones
Umar Marikkar
Guy Parsons
Adam Szmul
Adam Mahdi
120
32
0
04 Feb 2024
Nodule detection and generation on chest X-rays: NODE21 Challenge
Nodule detection and generation on chest X-rays: NODE21 Challenge
Ecem Sogancioglu
Bram van Ginneken
F. Behrendt
M. Bengs
Alexander Schlaefer
...
N. Hendrix
Colin Jacobs
Ward Hendrix
Clara I. Sánchez
K. Murphy
66
9
0
04 Jan 2024
Inspecting Model Fairness in Ultrasound Segmentation Tasks
Inspecting Model Fairness in Ultrasound Segmentation Tasks
Zikang Xu
Fenghe Tang
Quan Quan
Jianrui Ding
C. Ning
S. Kevin Zhou
65
0
0
05 Dec 2023
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical
  Imaging Research
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
Bardia Khosravi
Frank Li
Theo Dapamede
Pouria Rouzrokh
Cooper Gamble
...
C. Wyles
Andrew B. Sellergren
S. Purkayastha
Bradley J. Erickson
J. Gichoya
MedIm
86
18
0
15 Nov 2023
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based
  generator to achieve the accurate and effective synthesis of clinical tumor
  image data for pancreatic cancer
3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer
Yu Shi
Hannah Tang
M. Baine
M. A. Hollingsworth
Huijing Du
Dandan Zheng
Chi Zhang
Hongfeng Yu
MedIm
30
5
0
09 Nov 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
121
31
0
22 Oct 2023
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease
  Classification from Chest X-ray Images
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images
Şaban Öztürk
M. Y. Turali
Tolga Çukur
MedImViT
94
11
0
09 Oct 2023
Real-World Performance of Autonomously Reporting Normal Chest
  Radiographs in NHS Trusts Using a Deep-Learning Algorithm on the GP Pathway
Real-World Performance of Autonomously Reporting Normal Chest Radiographs in NHS Trusts Using a Deep-Learning Algorithm on the GP Pathway
Jordan Smith
T. N. Morgan
P. Williams
Q. Malik
S. Rasalingham
OOD
53
1
0
28 Jun 2023
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray
  Classification
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification
Bin Wang
Hongyi Pan
Armstrong Aboah
Zheyu Zhang
Elif Keles
Drew Torigian
Baris Turkbey
Elizabeth A. Krupinski
Jayaram K. Udupa
Ulas Bagci
115
25
0
29 May 2023
On the Learnability of Multilabel Ranking
On the Learnability of Multilabel Ranking
Vinod Raman
Unique Subedi
Ambuj Tewari
61
1
0
06 Apr 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification:
  Pitfalls and Best Practices
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices
Salah Ghamizi
Maxime Cordy
Michail Papadakis
Yves Le Traon
OOD
47
3
0
15 Dec 2022
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
102
9
0
15 Dec 2022
Auto-outlier Fusion Technique for Chest X-ray classification with
  Multi-head Attention Mechanism
Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism
Yu Jing
Zixuan Li
66
0
0
15 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease
  Classification
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao
Yutong Bai
Alan Yuille
Zongwei Zhou
MedImViT
82
62
0
23 Oct 2022
Image Projective Transformation Rectification with Synthetic Data for
  Smartphone-captured Chest X-ray Photos Classification
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification
Chak Fong Chong
Yapeng Wang
Benjamin Ng
Wuman Luo
Xu Yang
MedIm
69
4
0
12 Oct 2022
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical
  Prior Probability Maps for Thoracic Disease Classification
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification
Md. Iqbal Hossain
Mohammad Zunaed
Md. Kawsar Ahmed
S. M. J. Hossain
Anwarul Hasan
Taufiq Hasan
ViT
85
7
0
06 Oct 2022
Deep learning for understanding multilabel imbalanced Chest X-ray
  datasets
Deep learning for understanding multilabel imbalanced Chest X-ray datasets
H. Liz
Javier Huertas-Tato
Manuel Sánchez-Montanés
Javier Del Ser
David Camacho
SSL
76
26
0
28 Jul 2022
SwinCheX: Multi-label classification on chest X-ray images with
  transformers
SwinCheX: Multi-label classification on chest X-ray images with transformers
Sina Taslimi
Soroush Taslimi
Nima Fathi
Mohammad Salehi
M. Rohban
ViTMedIm
83
27
0
09 Jun 2022
Defending against Reconstruction Attacks through Differentially Private
  Federated Learning for Classification of Heterogeneous Chest X-Ray Data
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data
Joceline Ziegler
Bjarne Pfitzner
H. Schulz
A. Saalbach
B. Arnrich
FedML
59
17
0
06 May 2022
Prediction of COVID-19 using chest X-ray images
Prediction of COVID-19 using chest X-ray images
Narayana Darapaneni
Suma Maram
Harpreet Singh
S. Subhani
M. Kour
Sathish Nagam
A. Paduri
32
1
0
08 Apr 2022
Semantic Representation and Dependency Learning for Multi-Label Image
  Recognition
Semantic Representation and Dependency Learning for Multi-Label Image Recognition
Tao Pu
Lixian Yuan
Hefeng Wu
Tianshui Chen
Ling Tian
Liang Lin
VLM
59
15
0
08 Apr 2022
A Deep Learning Technique using a Sequence of Follow Up X-Rays for
  Disease classification
A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification
Sairamvinay Vijayaraghavan
David Haddad
Shikun Huang
Seongwoo Choi
MedIm
28
3
0
28 Mar 2022
Indication as Prior Knowledge for Multimodal Disease Classification in
  Chest Radiographs with Transformers
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers
Grzegorz Jacenków
Alison Q. OÑeil
Sotirios A. Tsaftaris
ViTMedIm
84
23
0
12 Feb 2022
What's Cracking? A Review and Analysis of Deep Learning Methods for
  Structural Crack Segmentation, Detection and Quantification
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification
Jacob König
M. Jenkins
M. Mannion
P. Barrie
Gordon Morison
107
14
0
08 Feb 2022
Debiasing pipeline improves deep learning model generalization for X-ray
  based lung nodule detection
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
Jing Zhu
H. Loh
P. Barua
Usha R. Acharya
AI4CE
64
7
0
24 Jan 2022
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray
  Abnormality Localization and Diagnosis
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis
Xi Ouyang
Srikrishna Karanam
Ziyan Wu
Terrence Chen
Jiayu Huo
X. Zhou
Qian Wang
Jie Cheng
OOD
60
94
0
23 Dec 2021
Explainable multiple abnormality classification of chest CT volumes
Explainable multiple abnormality classification of chest CT volumes
R. Draelos
Lawrence Carin
MedIm
70
13
0
24 Nov 2021
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for
  Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray
  Images
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images
Xin Zhang
Liangxiu Han
Tam Sobeih
Lianghao Han
Nina Dempsey
Symeon Lechareas
A. Tridente
Haoming Chen
Stephen White
MedIm
69
18
0
20 Oct 2021
Rheumatoid Arthritis: Automated Scoring of Radiographic Joint Damage
Rheumatoid Arthritis: Automated Scoring of Radiographic Joint Damage
Yan Ming Tan
Raphael Quek Hao Chong
C. Hargreaves
10
4
0
17 Oct 2021
Classification of COVID-19 from CXR Images in a 15-class Scenario: an
  Attempt to Avoid Bias in the System
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System
C. Bose
Anirvan Basu
90
0
0
25 Sep 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Mintong Kang
Bowen Li
Zengle Zhu
Yongyi Lu
Elliot K. Fishman
Alan Yuille
Zongwei Zhou
94
18
0
25 Sep 2021
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest
  Radiographs Using Deep Convolutional Neural Networks
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
Thanh-Truong Tran
H. Pham
T. Nguyen
T. Le
H. T. Nguyen
H. Q. Nguyen
43
11
0
14 Aug 2021
Multi-target prediction for dummies using two-branch neural networks
Multi-target prediction for dummies using two-branch neural networks
Dimitrios Iliadis
B. De Baets
Willem Waegeman
44
11
0
19 Apr 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
124
330
0
15 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by
  Adversarial Attack
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
Mengting Xu
Tao Zhang
Zhongnian Li
Mingxia Liu
Daoqiang Zhang
AAMLOODMedIm
105
45
0
05 Mar 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for
  Thoracic Disease Identification
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
Yi Zhou
Lei Huang
Tianfei Zhou
Ling Shao
58
8
0
26 Feb 2021
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep
  Features
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features
Antonio Sze-To
Abtin Riasatian
Hamid R. Tizhoosh
26
13
0
11 Feb 2021
Key Technology Considerations in Developing and Deploying Machine
  Learning Models in Clinical Radiology Practice
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
V. Kulkarni
M. Gawali
A. Kharat
VLM
113
21
0
03 Feb 2021
Beyond Fine-tuning: Classifying High Resolution Mammograms using
  Function-Preserving Transformations
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
Tao Wei
Angelica I Aviles-Rivero
Shuo Wang
Yuan Huang
F. Gilbert
Carola-Bibiane Schönlieb
Chen Chen
MedIm
50
18
0
20 Jan 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data
Multi-label Ranking: Mining Multi-label and Label Ranking Data
L. Dery
55
7
0
03 Jan 2021
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic
  Literature Review
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review
Tahira Iqbal
A. Shaukat
M. Akram
Zartasha Mustansar
110
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21 Dec 2020
Deformable Gabor Feature Networks for Biomedical Image Classification
Deformable Gabor Feature Networks for Biomedical Image Classification
Xuan Gong
Xin Xia
Wentao Zhu
Baochang Zhang
David Doermann
Lian Zhuo
OODMedIm
66
25
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07 Dec 2020
A New Window Loss Function for Bone Fracture Detection and Localization
  in X-ray Images with Point-based Annotation
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
Xinyu Zhang
Yirui Wang
Chi-Tung Cheng
Le Lu
Adam P. Harrison
Jing Xiao
Chien-Hung Liao
S. Miao
MedIm
46
5
0
07 Dec 2020
Use HiResCAM instead of Grad-CAM for faithful explanations of
  convolutional neural networks
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks
R. Draelos
Lawrence Carin
FAtt
102
97
0
17 Nov 2020
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