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Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19

Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19

T. Tan
Bipul Das
Ravi Soni
Mate Fejes
S. Ranjan
D. Szabo
V. Melapudi
K. Shriram
Utkarsh Agrawal
L. Ruskó
Zita Herczeg
Barbara Darázs
P. Tegzes
L. Ferenczi
R. Mullick
Gopal Avinash
ArXiv (abs)PDFHTML

Papers citing "Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19"

5 / 5 papers shown
Title
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
R. M. Pereira
Diego Bertolini
Lucas O. Teixeira
C. Silla
Yandre M. G. Costa
56
404
0
13 Apr 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
F. Shi
Jun Wang
Jun Shi
Zi-xiang Wu
Qian Wang
Zhenyu Tang
Kelei He
Yinghuan Shi
Dinggang Shen
106
1,058
0
06 Apr 2020
COVID-19 Image Data Collection
COVID-19 Image Data Collection
Joseph Paul Cohen
Paul Morrison
Lan Dao
74
1,013
0
25 Mar 2020
PadChest: A large chest x-ray image dataset with multi-label annotated reports
PadChest: A large chest x-ray image dataset with multi-label annotated reports
A. Bustos
A. Pertusa
J. M. Salinas
M. Iglesia-Vayá
LM&MA
71
615
0
22 Jan 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,341
0
18 May 2015

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