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Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images

2020-06-14

Abstract excerpt

Computerized Tomography (CT) has a prognostic role in the early diagnosis of COVID-19 due to it gives both fast and accurate results. This is very important to help decision making of clinicians for quick isolation and appropriate patient treatment. In this study, we combine methods such as segmentation, data augmentation and the generative adversarial network (GAN) to improve the effectiveness of learning models....

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Literature Corpus work
367129e7-ae48-5895-88b6-074d505d4ad8
DOI
10.1101/2020.06.12.20129643
Open publication

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Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) imagesDOI 10.1101/2020.06.12.20129643
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