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Semi-supervised Learning for COVID-19 Image Classification via ResNet

Semi-supervised Learning for COVID-19 Image Classification via ResNet

27 February 2021
Lucy Nwuso
Xiangfang Li
Lijun Qian
Seungchan Kim
Xishuang Dong
ArXivPDFHTML

Papers citing "Semi-supervised Learning for COVID-19 Image Classification via ResNet"

27 / 27 papers shown
Title
Explainable-by-design Semi-Supervised Representation Learning for
  COVID-19 Diagnosis from CT Imaging
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Abel Díaz Berenguer
Hichem Sahli
Boris Joukovsky
Maryna Kvasnytsia
Ine Dirks
...
P. Meunier
S. Gryspeerdt
K. Smet
B. Jansen
Jef Vandemeulebroucke
51
8
0
23 Nov 2020
Semi-supervised Neural Networks solve an inverse problem for modeling
  Covid-19 spread
Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread
Alessandro Paticchio
Tommaso Scarlatti
M. Mattheakis
P. Protopapas
Marco Brambilla
18
8
0
10 Oct 2020
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using
  X-ray Chest Images
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images
Saul Calderon-Ramirez
Shengxiang-Yang
Armaghan Moemeni
David Elizondo
Simon Colreavy-Donnelly
Luis Fernando Chavarria-Estrada
Miguel A. Molina-Cabello
53
44
0
19 Aug 2020
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set
  Domain Adaptation
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation
Jieli Zhou
Baoyu Jing
Zeya Wang
OOD
21
3
0
22 May 2020
Semi-supervised Medical Image Classification with Relation-driven
  Self-ensembling Model
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Quande Liu
Lequan Yu
Luyang Luo
Qi Dou
Pheng Ann Heng
87
226
0
15 May 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
103
1,058
0
06 Apr 2020
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware
  Anomaly Detection
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection
Jianpeng Zhang
Yutong Xie
Guansong Pang
Zhibin Liao
Johan Verjans
...
Zongji Sun
Jian He
Yi Li
Chunhua Shen
Yong-quan Xia
50
446
0
27 Mar 2020
COVID-19 Image Data Collection
COVID-19 Image Data Collection
Joseph Paul Cohen
Paul Morrison
Lan Dao
74
1,010
0
25 Mar 2020
Mapping the Landscape of Artificial Intelligence Applications against
  COVID-19
Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Joseph Aylett-Bullock
A. Luccioni
K. H. Pham
C. Lam
M. Luengo-Oroz
AI4CE
73
407
0
25 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images
  and Deep Convolutional Neural Networks
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
A. Narin
Ceren Kaya
Ziynet Pamuk
104
1,769
0
24 Mar 2020
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung
  Segmentation
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation
Gusztáv Gaál
B. Maga
András Lukács
MedIm
49
134
0
23 Mar 2020
Estimating Uncertainty and Interpretability in Deep Learning for
  Coronavirus (COVID-19) Detection
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
Biraja Ghoshal
A. Tucker
UQCV
OOD
49
379
0
22 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
107
2,503
0
22 Mar 2020
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic:
  Initial Results for Automated Detection & Patient Monitoring using Deep
  Learning CT Image Analysis
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
Ophir Gozes
Maayan Frid-Adar
H. Greenspan
P. Browning
Huangqi Zhang
W.-B. Ji
Adam Bernheim
E. Siegel
OOD
47
799
0
10 Mar 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
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
Dinggang Shen
Yuxin Shi
137
578
0
10 Mar 2020
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia
Xiaowei Xu
Xiangao Jiang
Chunlian Ma
Peng Du
Xukun Li
...
Yongtao Li
Hong Zhao
Kaijin Xu
Lingxiang Ruan
Wei Wu
67
642
0
21 Feb 2020
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
101
6,138
0
18 Jul 2018
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
146
2,826
0
15 Jun 2017
Learning Spatial Regularization with Image-level Supervisions for
  Multi-label Image Classification
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
Feng Zhu
Hongsheng Li
Wanli Ouyang
Nenghai Yu
Xiaogang Wang
65
338
0
20 Feb 2017
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
663
10,779
0
19 Feb 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,555
0
07 Oct 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
151
6,533
0
21 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
96
1,372
0
09 Jul 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
Semi-Supervised Learning with Deep Generative Models
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma
Danilo Jimenez Rezende
S. Mohamed
Max Welling
GAN
SSL
BDL
85
2,740
0
20 Jun 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
256
12,435
0
24 Jun 2012
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