CdcSegNet: Automatic COVID-19 Infection Segmentation From CT Images
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DOI: 10.1109/tim.2023.3267355
Abstract: It has been more than two years since the outbreak of COVID-19, which has spread to almost every corner of the world and killed a great number of people. Rapid detection and screening have become… read more here.
Keywords: covid infection; covid; segmentation; automatic covid ... See more keywords
Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model
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DOI: 10.1155/2022/6566982
Abstract: The coronavirus (COVID-19) pandemic has had a terrible impact on human lives globally, with far-reaching consequences for the health and well-being of many people around the world. Statistically, 305.9 million people worldwide tested positive for… read more here.
Keywords: lung; covid; segmentation; unet model ... See more keywords
Retracted: Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model
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DOI: 10.1155/2023/9812052
Abstract: [This retracts the article DOI: 10.1155/2022/6566982.]. read more here.
Keywords: retracted automatic; segmentation modified; covid lung; lung infection ... See more keywords
Automatic COVID-19 Diagnosis System Based on Deep Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Traitement du Signal"
DOI: 10.18280/ts.390412
Abstract: A public health emergency threat is happening due to novel coronavirus 2019 (nCoV-2019) throughout the world. nCoV-2019 is also named Severe Acute Respiratory Syndrome-CoronaVirus-2 (SARS-CoV-2). COVID-19 is the disease caused by this virus. The virus… read more here.
Keywords: world; convolutional neural; diagnosis system; automatic covid ... See more keywords