Title | ||
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Inception C-Net(IC-Net): Altered Inception Module for Detection of Covid-19 and Pneumonia using Chest X-rays |
Abstract | ||
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Data Science, being the most imperative part of Medical Science, is contributing its vital role in finding solutions to the greatest existing hurdles. It is being used to develop drugs, diagnose diseases, automate ventilators, and what not in a very short span of time which can otherwise become a very lengthy process. In early 2020 we have seen the arrival of another deleterious disease named as Covid-19. Artificial Intelligence is playing a major role in controlling the outbreak of this disease which has been declared a pandemic by WHO. Elaborating the power of computer vision, in this project we are trying to detect the Covid-19 pandemic with the help of Chest X-rays of the patients suffering from this disease. |
Year | DOI | Venue |
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2020 | 10.1109/ICIIS51140.2020.9342741 | 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS) |
Keywords | DocType | ISSN |
Covid-19,Pneumonia,X-rays,Computer Vision,IC-Net | Conference | 2164-7011 |
ISBN | Citations | PageRank |
978-1-7281-8525-5 | 0 | 0.34 |
References | Authors | |
0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Narayana Darapaneni | 1 | 0 | 1.69 |
Tushar Gupta | 2 | 0 | 0.34 |
Anwesh Reddy Paduri | 3 | 0 | 0.68 |
Arpit Banerji | 4 | 0 | 0.34 |
K. K. Sharma | 5 | 66 | 2.84 |
Dishant Sharma | 6 | 0 | 0.34 |
Nitin Gupta | 7 | 0 | 2.03 |