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Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

22 April 2020
Deng-Ping Fan
Tao Zhou
Ge-Peng Ji
Yi Zhou
Geng Chen
Huazhu Fu
Jianbing Shen
Ling Shao
ArXivPDFHTML

Papers citing "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images"

24 / 24 papers shown
Title
Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through Camouflage
Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through Camouflage
Yang Hu
Jinxia Zhang
Kaihua Zhang
Yin Yuan
Jiale Huang
Z. Zhan
Xinyu Wang
63
1
0
31 Dec 2024
Edge-aware Feature Aggregation Network for Polyp Segmentation
Edge-aware Feature Aggregation Network for Polyp Segmentation
Tao Zhou
Yizhe Zhang
Geng Chen
Yi Zhou
Ye Wu
Deng-Ping Fan
160
8
0
19 Sep 2023
Referring Camouflaged Object Detection
Referring Camouflaged Object Detection
Xuying Zhang
Bo Yin
Zheng Lin
Qibin Hou
Deng-Ping Fan
Ming-Ming Cheng
69
17
0
13 Jun 2023
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent
  Multi-View Representation Learning
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning
Hengyuan Kang
L. Xia
Fuhua Yan
Zhibin Wan
F. Shi
...
Huiting Jiang
Dijia Wu
H. Sui
Changqing Zhang
Dinggang Shen
SSL
68
204
0
06 May 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification
  and Segmentation
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu
Shanghua Gao
Jie Mei
Jun Xu
Deng-Ping Fan
Chao Zhao
Ming-Ming Cheng
35
378
0
15 Apr 2020
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19)
  Detection using Lung CT Scan Images
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images
V. Rajinikanth
N. Dey
A. Raj
Aboul Ella Hassanien
K. Santosh
N. M. Raja
15
121
0
06 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
64
1,057
0
06 Apr 2020
Automated Quantification of CT Patterns Associated with COVID-19 from
  Chest CT
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT
S. Chaganti
A. Balachandran
G. Chabin
S. Cohen
T. Flohr
...
A. Sauter
Zhoubing Xu
Y. Yoo
Valentin Ziebandt
Dorin Comaniciu
33
88
0
02 Apr 2020
Can AI help in screening Viral and COVID-19 pneumonia?
Can AI help in screening Viral and COVID-19 pneumonia?
M. Chowdhury
Tawsifur Rahman
Amith Khandakar
Rashid Mazhar
M. A. Kadir
...
Muhammad Salman Khan
A. Iqbal
N. Al-Emadi
M. Reaz
T. I. Islam
98
1,337
0
29 Mar 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
31
445
0
27 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
55
643
0
21 Feb 2020
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis
Tao Zhou
Huazhu Fu
Geng Chen
Jianbing Shen
Ling Shao
MedIm
38
261
0
11 Feb 2020
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for
  Anomaly Detection in Retinal OCT Image
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image
Kang Zhou
Shenghua Gao
Jun Cheng
Zaiwang Gu
Huazhu Fu
Zhi Tu
Jianlong Yang
Yitian Zhao
Jiang-Dong Liu
GAN
MedIm
136
65
0
28 Nov 2019
EGNet:Edge Guidance Network for Salient Object Detection
EGNet:Edge Guidance Network for Salient Object Detection
Jiaxing Zhao
Jiangjiang Liu
Deng-Ping Fan
Yang Cao
Jufeng Yang
Ming-Ming Cheng
93
910
0
22 Aug 2019
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu
Jun Cheng
Huazhu Fu
Kang Zhou
Huaying Hao
Yitian Zhao
Tianyang Zhang
Shenghua Gao
Jiang-Dong Liu
SSeg
45
1,624
0
07 Mar 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
78
1,486
0
10 Jan 2019
Attention Gated Networks: Learning to Leverage Salient Regions in
  Medical Images
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
MedIm
44
1,459
0
22 Aug 2018
Enhanced-alignment Measure for Binary Foreground Map Evaluation
Enhanced-alignment Measure for Binary Foreground Map Evaluation
Deng-Ping Fan
Cheng Gong
Yang Cao
Bo Ren
Ming-Ming Cheng
Ali Borji
87
1,214
0
26 May 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
115
4,994
0
11 Apr 2018
Structure-measure: A New Way to Evaluate Foreground Maps
Structure-measure: A New Way to Evaluate Foreground Maps
Deng-Ping Fan
Ming-Ming Cheng
Yun-Hai Liu
Tao Li
Ali Borji
85
1,358
0
02 Aug 2017
Object Region Mining with Adversarial Erasing: A Simple Classification
  to Semantic Segmentation Approach
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
Yunchao Wei
Jiashi Feng
Xiaodan Liang
Ming-Ming Cheng
Yao-Min Zhao
Shuicheng Yan
48
805
0
24 Mar 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
144
2,543
0
07 Oct 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
24
4,587
0
10 Feb 2016
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
56
1,369
0
09 Jul 2015
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