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Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image
27 May 2022
Lucy Nwosu
Xiangfang Li
Lijun Qian
Seungchan Kim
Xishuang Dong
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Papers citing
"Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image"
8 / 8 papers shown
Title
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Navid Ghassemi
Delaram Sadeghi
...
Z. Sani
F. Khozeimeh
S. Nahavandi
U. Acharya
Juan M Gorriz
30
176
0
16 Jul 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
E. E. Hemdan
M. Shouman
Mohamed E. Karar
67
1,007
0
24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
A. Narin
Ceren Kaya
Ziynet Pamuk
62
1,675
0
24 Mar 2020
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
206
242
0
24 Mar 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
D. Shen
Yuxin Shi
88
567
0
10 Mar 2020
Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner
Yunlu Wang
Menghan Hu
Qingli Li
Xiao-Ping Zhang
Guangtao Zhai
Nan Yao
36
197
0
12 Feb 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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