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Deep Learning for Chest X-ray Analysis: A Survey

Deep Learning for Chest X-ray Analysis: A Survey

15 March 2021
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
    LM&MA
ArXivPDFHTML

Papers citing "Deep Learning for Chest X-ray Analysis: A Survey"

24 / 74 papers shown
Title
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
19
14
0
06 May 2022
Equine radiograph classification using deep convolutional neural
  networks
Equine radiograph classification using deep convolutional neural networks
Raniere Silva
A. P. Mishra
Christopher Riggs
M. Doube
MedIm
6
3
0
29 Apr 2022
Improving Classification Model Performance on Chest X-Rays through Lung
  Segmentation
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation
Hilda Azimi
Jianxing Zhang
Pengcheng Xi
H. Asad
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
15
7
0
22 Feb 2022
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell
  Electrodes
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes
S. B. Jensen
T. Moeslund
S. J. Andreasen
MedIm
15
1
0
15 Feb 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease
  Classification on Chest X-ray Images
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images
Hongzhi Zhu
R. Rohling
Septimiu Salcudean
14
4
0
15 Feb 2022
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for
  Network Attention in Chest X-rays Classification
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification
Hongzhi Zhu
Septimiu Salcudean
R. Rohling
MedIm
12
4
0
15 Feb 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and
  their usability for Detecting Omicron
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan
Dr. Saddam Hussain Khan
Mahrukh Saif
Asiya Batool
A. Sohail
Muhammad Waleed Khan
19
48
0
13 Feb 2022
Deep Learning for Computational Cytology: A Survey
Deep Learning for Computational Cytology: A Survey
Hao Jiang
Yanning Zhou
Yi-Mou Lin
R. Chan
Jiangshu Liu
Hao Chen
19
75
0
10 Feb 2022
MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis
MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis
Haodi Zhang
Chenyu Xu
Pei-hong Liang
Ke Duan
Haopan Ren
Weibin Cheng
Kaishun Wu
23
0
0
09 Feb 2022
POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for
  COVID-19 Detection
POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection
Tomasz Szczepañski
Arkadiusz Sitek
Tomasz Trzciñski
Szymon Płotka
19
1
0
23 Jan 2022
Impact of class imbalance on chest x-ray classifiers: towards better
  evaluation practices for discrimination and calibration performance
Impact of class imbalance on chest x-ray classifiers: towards better evaluation practices for discrimination and calibration performance
Candelaria Mosquera
Luciana Ferrer
Diego H. Milone
D.R. Luna
Enzo Ferrante
21
3
0
23 Dec 2021
Cascading Neural Network Methodology for Artificial
  Intelligence-Assisted Radiographic Detection and Classification of Lead-Less
  Implanted Electronic Devices within the Chest
Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest
M. Demirer
Richard D. White
Vikash Gupta
R. Sebro
B. S. Erdal
30
1
0
25 Aug 2021
Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey
Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey
Changhee Han
Takayuki Okamoto
Koichi Takeuchi
Dimitris Katsios
Andrey Grushnikov
Masaaki Kobayashi
Antoine Choppin
Yuta Kurashina
Yuki Shimahara
14
2
0
02 Jun 2021
CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge
  Distillation
CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge Distillation
Y. Oh
Jong Chul Ye
MedIm
25
3
0
13 Apr 2021
Semi-supervised novelty detection using ensembles with regularized
  disagreement
Semi-supervised novelty detection using ensembles with regularized disagreement
A. Tifrea
E. Stavarache
Fanny Yang
UQCV
23
6
0
10 Dec 2020
C-Net: A Reliable Convolutional Neural Network for Biomedical Image
  Classification
C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification
H. Barzekar
Zeyun Yu
6
40
0
30 Oct 2020
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image
  Translation
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
H. Zunair
A. Ben Hamza
MedIm
35
38
0
20 Oct 2020
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
J. Wolleb
Robin Sandkühler
Philippe C. Cattin
237
21
0
28 Jul 2020
Chest X-ray Report Generation through Fine-Grained Label Learning
Chest X-ray Report Generation through Fine-Grained Label Learning
T. Syeda-Mahmood
Ken C. L. Wong
Yaniv Gur
Joy T. Wu
A. Jadhav
...
A. Pillai
Arjun Sharma
A. Syed
Orest Boyko
Mehdi Moradi
29
45
0
27 Jul 2020
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders
Nina Shvetsova
Bart Bakker
Irina Fedulova
H. Schulz
Dmitry V. Dylov
8
80
0
23 Jun 2020
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN
  Trained on Synthetic Data
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data
Ophir Gozes
H. Greenspan
17
9
0
20 Mar 2020
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease
  Classification in Chest X-ray Images
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images
Han Liu
Lei Wang
Y. Nan
F. Jin
Qi Wang
J. Pu
86
94
0
30 Oct 2018
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
280
10,613
0
19 Feb 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
229
3,190
0
30 Oct 2016
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