Author: Xuehai He; Xingyi Yang; Shanghang Zhang; Jinyu Zhao; Yichen Zhang; Eric Xing; Pengtao Xie
Title: Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans Document date: 2020_4_17
ID: l3f469ht_1
Snippet: C ORONAVIRUS disease 2019 (COVID-19) is an infectious disease that has infected more than 1.3 million individuals all over the world and caused more than 106,000 deaths 1 , as of April 11 in 2020. One major hurdle in controlling the spreading of this disease is the inefficiency and shortage of tests. The current tests are mostly based on reverse transcription polymerase chain reaction (RT-PCR). It takes 4-6 hours to obtain results, which is a lon.....
Document: C ORONAVIRUS disease 2019 (COVID-19) is an infectious disease that has infected more than 1.3 million individuals all over the world and caused more than 106,000 deaths 1 , as of April 11 in 2020. One major hurdle in controlling the spreading of this disease is the inefficiency and shortage of tests. The current tests are mostly based on reverse transcription polymerase chain reaction (RT-PCR). It takes 4-6 hours to obtain results, which is a long time compared with the rapid spreading rate of COVID-19. Besides inefficiency, RT-PCR test kits are in huge shortage. As a result, many infected cases cannot be timely identified and continue to infect others unconsciously.
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