Author: Amine Amyar; Romain Modzelewski; Su Ruan
Title: Multi-task Deep Learning Based CT Imaging Analysis For COVID-19: Classification and Segmentation Document date: 2020_4_21
ID: hiac6ur7_1
Snippet: The novel coronavirus disease (COVID-19) spread rapidly around the world, changing the daily lives of billions of people. The infection can lead to severe pneumonia that can causes death. Also, COVID-19 is highly contagious, which is why it must be detected quickly, in order to isolate the infected person very fast to limit the spread of the disease.Today, the gold standard for detecting COVID-19 is the Reverse Transcription Polymerase Chain Reac.....
Document: The novel coronavirus disease (COVID-19) spread rapidly around the world, changing the daily lives of billions of people. The infection can lead to severe pneumonia that can causes death. Also, COVID-19 is highly contagious, which is why it must be detected quickly, in order to isolate the infected person very fast to limit the spread of the disease.Today, the gold standard for detecting COVID-19 is the Reverse Transcription Polymerase Chain Reaction (RT-PCR) [1] , which consists of detecting viral RNA from sputum or nasopharyngeal swab. The limitation with the RT-PCR test is due to the time needed to get the results, the availability of the material which remains very limited in hospitals [1] and its relatively low sensitivity, which does not meet the major interest of rapidly detecting positive cases as soon as possible in order to isolate them [2] . An alternative solution for rapid screening could be the use of medical imaging such as x-chest ray images or computed tomography (CT) scanners [2] .
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