Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

12 April 2020

Papers citing "Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images"

40 / 40 papers shown

Title
Attention Mechanisms in Medical Image Segmentation: A Survey Yutong Xie Bing Yang Qi Guan Jianpeng Zhang Qi Wu Yong-quan Xia ViT MedIm 19 16 0 29 May 2023
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation G. Prasanna John Rohit Ernest G. Lalitha Sathiya Narayanan 21 3 0 13 May 2023
DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem Bruno A. Krinski Daniel V. Ruiz Rayson Laroca E. Todt 3DPC 20 2 0 10 Mar 2023
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19 Liansheng Wang Jiacheng Wang Lei Zhu H. Fu Ping Li Gary Cheng Zhipeng Feng Shuo Li Pheng-Ann Heng 28 23 0 10 Nov 2022
COVID-19 Detection Using Segmentation, Region Extraction and Classification Pipeline Kenan Morani 19 2 0 06 Oct 2022
Training a universal instance segmentation network for live cell images of various cell types and imaging modalities Tianqi Guo Yin Wang Luis Solorio J. Allebach SSeg OOD 19 3 0 28 Jul 2022
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors Botond Fazekas Guilherme Aresta Dmitrii Lachinov Sophie Riedl Julia Mai U. Schmidt-Erfurth Hrvoje Bogunović 11 13 0 01 Jul 2022
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation Mehreen Mubashar Hazrat Ali C. Grönlund Shoaib Azmat SSeg 21 66 0 03 Jun 2022
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation Bruno A. Krinski Daniel V. Ruiz E. Todt 3DPC 32 2 0 19 May 2022
A General Survey on Attention Mechanisms in Deep Learning Gianni Brauwers Flavius Frasincar 31 296 0 27 Mar 2022
Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentation Bruno A. Krinski Daniel V. Ruiz E. Todt 22 4 0 30 Sep 2021
Global Convolutional Neural Processes Xuesong Wang Lina Yao Xianzhi Wang Hye-Young Paik Sen Wang BDL AI4CE 22 4 0 02 Sep 2021
B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation H. Kerdegari P. T. Nhat A. McBride L. Pisani Reza Razavi L. Thwaites S. Yacoub Alberto Gómez 15 1 0 26 Jul 2021
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation Bingzhi Chen Yishu Liu Zheng-Wei Zhang Guangming Lu A. W. Kong MedIm ViT 101 208 0 12 Jul 2021
DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images Bo Cheng Ruhui Xue Hang Yang Laili Zhu Wei Xiang MedIm 26 2 0 20 May 2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection Moloud Abdar Soorena Salari Sina Qahremani Fellow Ieee Hak-Keung Lam Fakhri Karray Ieee Sadiq Hussain Fellow Senior Member Ieee Abbas Khosravi S. M. I. U. Rajendra Acharya V. Makarenkov Australia. S. Nahavandi OOD 15 77 0 18 May 2021
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images Qiangguo Jin Hui Cui Changming Sun Zhaopeng Meng Leyi Wei R. Su OOD MedIm 24 47 0 20 Apr 2021
Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation Huimin Huang Ming Cai Lanfen Lin Jing Zheng Xiongwei Mao ... Jianying Zhou Yutaro Iwamoto Xianhua Han Yenwei Chen Ruofeng Tong 20 13 0 07 Mar 2021
Detection and severity classification of COVID-19 in CT images using deep learning Yazan Qiblawey Anas Tahir M. Chowdhury Amith Khandakar S. Kiranyaz Tawsifur Rahman Nabil Ibtehaz S. Mahmud Somaya Al-Madeed F. Musharavati 13 109 0 15 Feb 2021
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism Xiangyu Zhao Peng Zhang Fan Song Guangda Fan Yangyang Sun Yujia Wang Zheyuan Tian Luqi Zhang Guanglei Zhang MedIm 11 15 0 10 Feb 2021
Automatic Detection of B-lines in Lung Ultrasound Videos From Severe Dengue Patients H. Kerdegari P. T. Nhat A. McBride Vital Consortium Reza Razavi N. V. Hao L. Thwaites S. Yacoub Alberto Gómez 22 9 0 01 Feb 2021
Generative Adversarial U-Net for Domain-free Medical Image Augmentation Xiaocong Chen Yun Yvonna Li Lina Yao Ehsan Adeli Yu Zhang GAN OOD MedIm 43 17 0 12 Jan 2021
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 21 1,041 0 02 Nov 2020
Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images Parham Yazdekhasty Ali Zindari Zahra Nabizadeh-ShahreBabak Roshank Roshandel P. Khadivi N. Karimi S. Samavi 11 9 0 01 Nov 2020
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19 P. Vidal J. D. Moura Jorge Novo M. Ortega OOD 9 60 0 30 Oct 2020
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 Lucas O. Teixeira R. M. Pereira Diego Bertolini Luiz Eduardo Soares de Oliveira L. Nanni George D. C. Cavalcanti Yandre M. G. Costa 13 114 0 21 Sep 2020
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks Faizan Munawar Shoaib Azmat Talha Iqbal C. Grönlund Hazrat Ali GAN MedIm 21 61 0 12 Sep 2020
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network Yifan Jiang Han Chen Murray H. Loew Hanseok Ko DiffM MedIm 34 126 0 29 Jul 2020
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 39 178 0 16 Jul 2020
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients Keegan Lensink I. Laradji M. Law P. Barbano S. Nicolaou William Parker E. Haber 26 3 0 07 Jul 2020
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images I. Laradji Pau Rodríguez López Oscar Manas Keegan Lensink M. Law Lironne Kurzman William Parker David Vazquez Derek Nowrouzezahrai 10 84 0 04 Jul 2020
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net Dominik Muller Iñaki Soto Rey Frank Kramer 12 70 0 24 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images Xiaocong Chen Lina Yao Tao Zhou Jinming Dong Yu Zhang 35 169 0 16 Jun 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images Delong Chen Shunhui Ji Fan Liu Zewen Li Xinyu Zhou MedIm 21 11 0 09 Jun 2020
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation Jun Ma Yixin Wang Xingle An Cheng Ge Ziqi Yu ... Jian He Zhiqiang He Yuntao Zhu Ziwei Nie Xiaoping Yang 26 206 0 27 Apr 2020
Efficient Scale Estimation Methods using Lightweight Deep Convolutional Neural Networks for Visual Tracking S. M. Marvasti-Zadeh Hossein Ghanei-Yakhdan S. Kasaei 17 8 0 06 Apr 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 74 1,761 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 99 574 0 10 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016