Recognizing COVID-19 from chest X-ray images for people in rural and remote areas based on deep transfer learning model
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-022-12030-y
Abstract: In this article, we propose Deep Transfer Learning (DTL) Model for recognizing covid-19 from chest x-ray images. The latter is less expensive, easily accessible to populations in rural and remote areas. In addition, the device… read more here.
Keywords: class; deep transfer; ray images; covid chest ... See more keywords
Deep learning for COVID-19 chest CT (computed tomography) image analysis: A lesson from lung cancer
Sign Up to like & getrecommendations! Published in 2021 at "Computational and Structural Biotechnology Journal"
DOI: 10.1016/j.csbj.2021.02.016
Abstract: As a recent global health emergency, the quick and reliable diagnosis of COVID-19 is urgently needed. Thus, many artificial intelligence (AI)-base methods are proposed for COVID-19 chest CT (computed tomography) image analysis. However, there are… read more here.
Keywords: chest; covid chest; deep learning; lung cancer ... See more keywords
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108274
Abstract: Can one learn to diagnose COVID-19 under extreme minimal supervision? Since the outbreak of the novel COVID-19 there has been a rush for developing automatic techniques for expert-level disease identification on Chest X-ray data. In… read more here.
Keywords: graph diffusion; diffusion; chest; identifying covid ... See more keywords
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3066331
Abstract: Due to the shortage of COVID-19 viral testing kits, radiology is used to complement the screening process. Deep learning methods are promising in automatically detecting COVID-19 disease in chest x-ray images. Most of these works… read more here.
Keywords: semi supervised; chest ray; domain; chest ... See more keywords
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence
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DOI: 10.1155/2020/9756518
Abstract: The COVID-19 diagnostic approach is mainly divided into two broad categories, a laboratory-based and chest radiography approach. The last few months have witnessed a rapid increase in the number of studies use artificial intelligence (AI)… read more here.
Keywords: diagnosis covid; review diagnosis; covid; covid chest ... See more keywords
Detecting COVID-19 in Chest X-Ray Images via MCFF-Net
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/3604900
Abstract: COVID-19 is a respiratory disease caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2). Due to the rapid spread of COVID-19 around the world, the number of COVID-19 cases continues to increase, and lots of countries… read more here.
Keywords: mcff net; covid; chest ray; covid chest ... See more keywords
COVID-19 on Chest CT: Translating Known Microscopic Findings to Imaging Observations
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DOI: 10.3390/life12060855
Abstract: Purpose: To describe the imaging findings of COVID-19 and correlate them with their known pathology observations. Methods: This is an IRB-approved retrospective study performed at Columbia University Irving Medical Center (IRB # AAAS9652) that included… read more here.
Keywords: translating known; contrast; pulmonary embolism; known microscopic ... See more keywords