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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"

26 / 76 papers shown
Title
Decision and Feature Level Fusion of Deep Features Extracted from Public
  COVID-19 Data-sets
Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets
Hamza Osman Ilhan
Gorkem Serbes
N. Aydin
57
32
0
17 Nov 2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease
  Classification and Localization in Chest Radiographs
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
C. Seibold
Jens Kleesiek
H. Schlemmer
Rainer Stiefelhagen
SSL
49
6
0
30 Sep 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for
  Identifying COVID-19 on Chest X-rays
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
Angelica I Aviles-Rivero
P. Sellars
Carola-Bibiane Schönlieb
Nicolas Papadakis
DiffMMedImSSL
78
30
0
30 Sep 2020
Interpretation of smartphone-captured radiographs utilizing a deep
  learning-based approach
Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach
Hung Le
Phuong Nguyen
T. Nguyen
K. Le
Thanh-Thien Nguyen
MedIm
22
2
0
13 Sep 2020
A free web service for fast COVID-19 classification of chest X-Ray
  images
A free web service for fast COVID-19 classification of chest X-Ray images
J. D. B. Castro
Ricardo Rei
J. E. Ruiz
Pedro Marco Achanccaray Diaz
S. A. Canchumuni
C. M. Villalobos
Felipe Borges Coelho
L. Mendoza
M. Pacheco
45
0
0
27 Aug 2020
An Aggregate Method for Thorax Diseases Classification
An Aggregate Method for Thorax Diseases Classification
B. A. Nugroho
26
0
0
07 Aug 2020
Learning Visual Context by Comparison
Learning Visual Context by Comparison
Minchul Kim
Jongchan Park
Seil Na
C. Park
Donggeun Yoo
43
11
0
15 Jul 2020
Generalization of Deep Convolutional Neural Networks -- A Case-study on
  Open-source Chest Radiographs
Generalization of Deep Convolutional Neural Networks -- A Case-study on Open-source Chest Radiographs
Nazanin Mashhaditafreshi
Amara Tariq
J. Gichoya
Imon Banerjee
OODAI4CE
21
1
0
11 Jul 2020
Hardware Implementation of Deep Network Accelerators Towards Healthcare
  and Biomedical Applications
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
M. R. Azghadi
Corey Lammie
Jason K. Eshraghian
Melika Payvand
Elisa Donati
B. Linares-Barranco
Giacomo Indiveri
79
142
0
11 Jul 2020
RTEX: A novel methodology for Ranking, Tagging, and Explanatory
  diagnostic captioning of radiography exams
RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams
Vasiliki Kougia
John Pavlopoulos
P. Papapetrou
Max Gordon
44
0
0
11 Jun 2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from
  X-Ray Images
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo
L. Nanni
85
202
0
27 Apr 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity
  Aware Chest Radiograph Screening
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening
A. Chakravarty
Tandra Sarkar
N. Ghosh
Ramanathan Sethuraman
Debdoot Sheet
44
12
0
24 Apr 2020
A Systematic Search over Deep Convolutional Neural Network Architectures
  for Screening Chest Radiographs
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
Arka Mitra
A. Chakravarty
N. Ghosh
Tandra Sarkar
Ramanathan Sethuraman
Debdoot Sheet
61
9
0
24 Apr 2020
Character-level Japanese Text Generation with Attention Mechanism for
  Chest Radiography Diagnosis
Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis
Kenya Sakka
Kotaro Nakayama
Nisei Kimura
Taiki Inoue
Yusuke Iwasawa
Ryohei Yamaguchi
Yosimasa Kawazoe
K. Ohe
Y. Matsuo
14
2
0
06 Apr 2020
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised
  Framework for Medical Image Classification
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification
Marianne de Vriendt
P. Sellars
Angelica I Aviles-Rivero
GNN
27
0
0
13 Mar 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale
  Chest Computed Tomography Volumes
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
R. Draelos
D. Dov
Maciej A. Mazurowski
J. Lo
Ricardo Henao
Geoffrey D. Rubin
Lawrence Carin
93
71
0
12 Feb 2020
On the limits of cross-domain generalization in automated X-ray
  prediction
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen
Mohammad Hashir
Rupert Brooks
H. Bertrand
OOD
106
130
0
06 Feb 2020
Smart Chest X-ray Worklist Prioritization using Artificial Intelligence:
  A Clinical Workflow Simulation
Smart Chest X-ray Worklist Prioritization using Artificial Intelligence: A Clinical Workflow Simulation
Ivo M. Baltruschat
Leonhard Steinmeister
H. Nickisch
A. Saalbach
M. Grass
G. Adam
T. Knopp
H. Ittrich
13
0
0
23 Jan 2020
Lung segmentation on chest x-ray images in patients with severe abnormal
  findings using deep learning
Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning
Mizuho Nishio
Koji Fujimoto
K. Togashi
31
11
0
21 Aug 2019
Deep Learning for Pneumothorax Detection and Localization in Chest
  Radiographs
Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs
A. Gooßen
Hrishikesh Deshpande
T. Harder
Evan Schwab
Ivo M. Baltruschat
T. Mabotuwana
N. Cross
A. Saalbach
36
25
0
16 Jul 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised
  Classification with the 1-Laplacian Graph Energy
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy
Angelica I. Aviles-Rivero
Nicolas Papadakis
Ruoteng Li
P. Sellars
Samar M. Alsaleh
R. Tan
Carola-Bibiane Schönlieb
71
3
0
20 Jun 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for
  Disease Identification with Chest X-rays
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedImGNN
88
59
0
31 Mar 2019
When does Bone Suppression and Lung Field Segmentation Improve Chest
  X-Ray Disease Classification?
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?
Ivo M. Baltruschat
Leonhard Steinmeister
H. Ittrich
G. Adam
H. Nickisch
A. Saalbach
J. V. Berg
M. Grass
T. Knopp
41
22
0
17 Oct 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against
  Adversarial Attacks
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
Saeid Asgari Taghanaki
A. Das
Ghassan Hamarneh
MedIm
91
52
0
09 Jul 2018
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using
  Dual Convolutional Neural Networks
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks
Jonathan Rubin
Deepan Sanghavi
Claire Zhao
Kathy Lee
Ashequl Qadir
M. Xu-Wilson
MedIm
63
84
0
20 Apr 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple
  Resolutions
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
L. Yao
Jordan Prosky
Eric Poblenz
Ben Covington
Kevin Lyman
63
123
0
21 Mar 2018
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