Inception C-Net(IC-Net):修改后的Inception模块，用于使用胸部x射线检测Covid-19和肺炎

2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2020-11-26 DOI:10.1109/ICIIS51140.2020.9342741

Narayana Darapaneni, Tushar Gupta, A. Paduri, Arpit Banerji, Sanjay Sharma, D. Sharma, N. Gupta

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引用次数: 4

摘要

数据科学作为医学科学中最重要的一部分，在寻找解决现有最大障碍的解决方案方面发挥着至关重要的作用。它被用于开发药物，诊断疾病，自动呼吸机，以及在很短的时间内完成的事情，否则这可能会成为一个非常漫长的过程。2020年初，我们看到了另一种名为Covid-19的有害疾病的到来。人工智能在控制这种被世卫组织宣布为大流行的疾病的爆发方面发挥着重要作用。利用计算机视觉的力量，在这个项目中，我们试图通过对患有这种疾病的患者进行胸部x光检查来检测Covid-19大流行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Inception C-Net(IC-Net): Altered Inception Module for Detection of Covid-19 and Pneumonia using Chest X-rays

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.

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2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS)

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