Efficient COVID-19 testing via contextual model based compressive sensing
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108253
Abstract: The COVID-19 pandemic is threatening billions of people's life all over the world. As of March 6, 2021, covid-19 has confirmed in 115,653,459 people worldwide. It has also a devastating effect on businesses and social… read more here.
Keywords: model based; compressive sensing; model; efficient covid ... See more keywords
MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3230821
Abstract: The rapid spread of the new pandemic, i.e., coronavirus disease 2019 (COVID-19), has severely threatened global health. Deep-learning-based computer-aided screening, e.g., COVID-19 infected area segmentation from computed tomography (CT) image, has attracted much attention by… read more here.
Keywords: multiscale learning; covid segmentation; segmentation; efficient covid ... See more keywords
Retracted: Efficient COVID-19 CT Scan Image Segmentation by Automatic Clustering Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9860812
Abstract: [This retracts the article DOI: 10.1155/2022/9009406.]. read more here.
Keywords: segmentation automatic; scan image; image segmentation; retracted efficient ... See more keywords