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JCS: An Explainable COVID-19 Diagnosis System by Joint Classification
  and Segmentation

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

15 April 2020
Yu-Huan Wu
Shanghua Gao
Jie Mei
Jun Xu
Deng-Ping Fan
Chao Zhao
Ming-Ming Cheng
ArXivPDFHTML

Papers citing "JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation"

32 / 32 papers shown
Title
Camouflaged Object Tracking: A Benchmark
Camouflaged Object Tracking: A Benchmark
Xiaoyu Guo
Pengzhi Zhong
Hao Zhang
Ling Huang
Huikai Shao
Qijun Zhao
Shuiwang Li
57
2
0
25 Aug 2024
Adversarial Examples Detection with Enhanced Image Difference Features
  based on Local Histogram Equalization
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization
Z. Yin
Shaowei Zhu
Han Su
Jianteng Peng
Wanli Lyu
Bin Luo
AAML
28
2
0
08 May 2023
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture
  for Binary and Multi-classes Covid-19 Infection Segmentation
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation
F. Bougourzi
C. Distante
Fadi Dornaika
A. Taleb-Ahmed
MedIm
ViT
17
5
0
27 Mar 2023
Composite Deep Network with Feature Weighting for Improved Delineation
  of COVID Infection in Lung CT
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT
Pallab Dutta
S. Mitra
16
0
0
17 Jan 2023
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and
  Classification for Diabetic Retinopathy Grading
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
Hasan Md Tusfiqur
D. M. Nguyen
M. T. N. Truong
T. A. Nguyen
Binh Duc Nguyen
...
H. Profitlich
Ngoc T. T. Than
Ngan Le
P. Xie
Daniel Sonntag
MedIm
27
8
0
30 Dec 2022
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection
  Segmentation in Chest CT Volume for COVID-19
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Liansheng Wang
Jiacheng Wang
Lei Zhu
Huazhu Fu
Ping Li
Gary Cheng
Zhipeng Feng
Shuo Li
Pheng-Ann Heng
30
23
0
10 Nov 2022
A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19
  Severity Assessment
A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19 Severity Assessment
Tal Ben-Haim
Ron Moshe Sofer
G. Ben-Arie
I. Shelef
Tammy Riklin-Raviv
17
5
0
05 Jul 2022
Ensemble CNN models for Covid-19 Recognition and Severity Perdition From
  3D CT-scan
Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan
F. Bougourzi
C. Distante
Fadi Dornaika
A. Taleb-Ahmed
3DPC
29
3
0
29 Jun 2022
Deep Gradient Learning for Efficient Camouflaged Object Detection
Deep Gradient Learning for Efficient Camouflaged Object Detection
Ge-Peng Ji
Deng-Ping Fan
Yu-Cheng Chou
Dengxin Dai
Alexander Liniger
Luc Van Gool
92
138
0
25 May 2022
FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure
  Estimation
FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation
Jin Liang
Yuchen Yang
Anran Zhang
Jun Xu
Hui Li
Xiantong Zhen
11
0
0
05 Mar 2022
Explainable Artificial Intelligence Methods in Combating Pandemics: A
  Systematic Review
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
F. Giuste
Wenqi Shi
Yuanda Zhu
Tarun Naren
Monica Isgut
Ying Sha
L. Tong
Mitali S. Gupte
May D. Wang
21
73
0
23 Dec 2021
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and
  Synthetic Data
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
Parham Yazdekhasty
Ali Zindari
Zahra Nabizadeh-ShahreBabak
P. Khadivi
N. Karimi
S. Samavi
17
2
0
19 Aug 2021
A Survey of Machine Learning Techniques for Detecting and Diagnosing
  COVID-19 from Imaging
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging
Aishwarza Panday
M. A. Kabir
N. K. Chowdhury
36
7
0
25 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
SSeg
29
144
0
09 Jul 2021
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19
  Patients Using Deep Learning
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning
Manvel Avetisian
I. Burenko
K. Egorov
V. Kokh
A. Nesterov
A. Nikolaev
Alexander Ponomarchuk
Elena Sokolova
Alexander Tuzhilin
Dmitry Umerenkov
OOD
18
5
0
25 May 2021
Mutual Graph Learning for Camouflaged Object Detection
Mutual Graph Learning for Camouflaged Object Detection
Qiang Zhai
Xin Li
Fan Yang
Chenglizhao Chen
Hong Cheng
Deng-Ping Fan
29
197
0
03 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
283
3,623
0
24 Feb 2021
Deep Texture-Aware Features for Camouflaged Object Detection
Deep Texture-Aware Features for Camouflaged Object Detection
Jingjing Ren
Xiaowei Hu
Lei Zhu
Xuemiao Xu
Yangyang Xu
Weiming Wang
Zijun Deng
Pheng-Ann Heng
ObjD
91
109
0
05 Feb 2021
MobileSal: Extremely Efficient RGB-D Salient Object Detection
MobileSal: Extremely Efficient RGB-D Salient Object Detection
Yu-Huan Wu
Yun-Hai Liu
Jun Xu
Jiawang Bian
Yuchao Gu
Ming-Ming Cheng
31
104
0
24 Dec 2020
Efficient and Visualizable Convolutional Neural Networks for COVID-19
  Classification Using Chest CT
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT
A. Garg
Salehi
M. Rocca
R. Garner
D. Duncan
18
45
0
22 Dec 2020
Checklist for responsible deep learning modeling of medical images based
  on COVID-19 detection studies
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
Weronika Hryniewska
Przemysław Bombiński
P. Szatkowski
Paulina Tomaszewska
A. Przelaskowski
P. Biecek
OOD
27
47
0
11 Dec 2020
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images
  and Acoustic-based Techniques: A Recent Review
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review
Walid Hariri
A. Narin
19
35
0
10 Dec 2020
Detection of Covid-19 Patients with Convolutional Neural Network Based
  Features on Multi-class X-ray Chest Images
Detection of Covid-19 Patients with Convolutional Neural Network Based Features on Multi-class X-ray Chest Images
A. Narin
17
19
0
10 Dec 2020
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
23
1,041
0
02 Nov 2020
DOTS: Decoupling Operation and Topology in Differentiable Architecture
  Search
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search
Yuchao Gu
Li-Juan Wang
Yun-Hai Liu
Yi Yang
Yu-Huan Wu
Shao-Ping Lu
Ming-Ming Cheng
32
48
0
02 Oct 2020
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis:
  A Review
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review
Shahabedin Nabavi
Azar Ejmalian
M. Moghaddam
A. A. Abin
Alejandro F. Frangi
M. Mohammadi
H. S. Rad
16
34
0
01 Oct 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19
  in chest X-ray images
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
Lucas O. Teixeira
R. M. Pereira
Diego Bertolini
Luiz Eduardo Soares de Oliveira
L. Nanni
George D. C. Cavalcanti
Yandre M. G. Costa
18
114
0
21 Sep 2020
COVID-19 Screening Using Residual Attention Network an Artificial
  Intelligence Approach
COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach
V. Sharma
Curtis E. Dyreson
25
18
0
26 Jun 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
Delong Chen
Shunhui Ji
Fan Liu
Zewen Li
Xinyu Zhou
MedIm
24
11
0
09 Jun 2020
Development of a Machine-Learning System to Classify Lung CT Scan Images
  into Normal/COVID-19 Class
Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class
Seifedine Kadry
V. Rajinikanth
Seungmin Rho
N. M. Raja
Vaddi Seshagiri Rao
Palani Thanaraj Krishnan
12
40
0
24 Apr 2020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang
Xuehai He
Jinyu Zhao
Yichen Zhang
Shanghang Zhang
P. Xie
25
842
0
30 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
D. Shen
Yuxin Shi
111
574
0
10 Mar 2020
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