MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

21 April 2020

Papers citing "MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation"

20 / 20 papers shown

Title
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 35 23 0 10 Nov 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 46 3 0 22 Aug 2022
Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data Jia Xue T. Yabe Kota Tsubouchi J. Ma S. Ukkusuri 21 8 0 22 Oct 2021
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 19 2 0 19 Aug 2021
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging Aishwarza Panday M. A. Kabir N. K. Chowdhury 39 7 0 25 Jul 2021
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 23 5 0 25 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 29 47 0 20 Apr 2021
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans Tanvir Mahmud Md. Jahin Alam Sakib Chowdhury Shams Nafisa Ali Md. Maisoon Rahman Shaikh Anowarul Fattah Mohammad Saquib 13 37 0 03 Jan 2021
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 21 114 0 21 Sep 2020
Rethinking 3D LiDAR Point Cloud Segmentation Shijie Li Yun-Hai Liu Juergen Gall 3DPC 22 37 0 10 Aug 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 51 178 0 16 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 21 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 31 70 0 24 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 27 11 0 09 Jun 2020
Intra-model Variability in COVID-19 Classification Using Chest X-ray Images Brian D. Goodwin Corey Jaskolski Can Zhong Herick Asmani OOD 34 28 0 30 Apr 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 80 1,762 0 24 Mar 2020
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen Anton Van Den Hengel SSeg 260 1,491 0 30 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 235 2,056 0 07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,645 0 02 Nov 2015