An efficient deep multi‐task learning structure for covid‐19 disease

[1]  H. Mostafaei,et al.  Analysis of lung scan imaging using deep multi-task learning structure for Covid-19 disease , 2023, IET Image Process..

[2]  Yanjun Peng,et al.  Cov-TransNet: Dual branch fusion network with transformer for COVID-19 infection segmentation , 2022, Biomedical Signal Processing and Control.

[3]  Youssef Mourdi,et al.  Strong semantic segmentation for Covid-19 detection: Evaluating the use of deep learning models as a performant tool in radiography , 2022, Radiography.

[4]  V. Bajaj,et al.  Deep learning models-based CT-scan image classification for automated screening of COVID-19 , 2022, Biomedical Signal Processing and Control.

[5]  Chaodong Fan,et al.  GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features , 2022, Pattern Recognition.

[6]  Hasan Polat A modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID‐19 lung infections , 2022, Int. J. Imaging Syst. Technol..

[7]  Anandbabu Gopatoti,et al.  CXGNet: A tri-phase chest X-ray image classification for COVID-19 diagnosis using deep CNN with enhanced grey-wolf optimizer , 2022, Biomedical Signal Processing and Control.

[8]  I. R. Khan,et al.  A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images , 2022, Signal, Image and Video Processing.

[9]  F. Ferguene,et al.  COVIR: A virtual rendering of a novel NN architecture O-Net for COVID-19 Ct-scan automatic lung lesions segmentation , 2022, Computers & Graphics.

[10]  Shuli Guo,et al.  COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter , 2022, Biomedical Signal Processing and Control.

[11]  Jawad Ahmad,et al.  Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques , 2022, Sensors.

[12]  Yunyun Dong,et al.  COVID-19 CT image recognition algorithm based on transformer and CNN , 2022, Displays.

[13]  R. Menaka,et al.  Contour-enhanced attention CNN for CT-based COVID-19 segmentation , 2022, Pattern Recognition.

[14]  M. S. Nair,et al.  A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse autoencoder and feed forward neural network , 2021, Computers in Biology and Medicine.

[15]  S. Kanmani,et al.  Effect of image transformation on EfficientNet model for COVID-19 CT image classification , 2021, Materials Today: Proceedings.

[16]  Hejun Wu,et al.  A coarse‐refine segmentation network for COVID‐19 CT images , 2021, IET Image Process..

[17]  Sumindar Kaur Saini,et al.  Denoising of computed tomography using bilateral median based autoencoder network , 2021, Int. J. Imaging Syst. Technol..

[18]  R. B. Pachori,et al.  A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images , 2021, Biomedical Signal Processing and Control.

[19]  M. Sharif,et al.  An integrated framework for COVID‐19 classification based on classical and quantum transfer learning from a chest radiograph , 2021, Concurr. Comput. Pract. Exp..

[20]  R.T.Subhalakshmi,et al.  Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images , 2021, Concurr. Eng. Res. Appl..

[21]  Kalyani Mali,et al.  A morphology-based radiological image segmentation approach for efficient screening of COVID-19 , 2021, Biomedical Signal Processing and Control.

[22]  Huiguang He,et al.  Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19 , 2021, Pattern Recognition.

[23]  Songfeng Lu,et al.  Automatic clustering method to segment COVID-19 CT images , 2021, PloS one.

[24]  Mohammad Khalid Pandit,et al.  Automatic detection of COVID-19 from chest radiographs using deep learning , 2020, Radiography.

[25]  Abdulkadir Şengür,et al.  Deep learning approaches for COVID-19 detection based on chest X-ray images , 2020, Expert Systems with Applications.

[26]  Mayank Vatsa,et al.  Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images , 2020, Pattern Recognition.

[27]  J. Ge,et al.  Cardiovascular manifestations in severe and critical patients with COVID‐19 , 2020, Clinical cardiology.