作者
Mukul Singh, Shrey Bansal, Sakshi Ahuja, Rahul Kumar Dubey, Bijaya Ketan Panigrahi, Nilanjan Dey
发表日期
2021/3/18
期刊
Medical & Biological Engineering & Computing
页码范围
Springer Berlin Heidelberg
出版商
2021/3/18
简介
The novel discovered disease coronavirus popularly known as COVID-19 is caused due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and declared a pandemic by the World Health Organization (WHO). An early-stage detection of COVID-19 is crucial for the containment of the pandemic it has caused. In this study, a transfer learning–based COVID-19 screening technique is proposed. The motivation of this study is to design an automated system that can assist medical staff especially in areas where trained staff are outnumbered. The study investigates the potential of transfer learning–based models for automatically diagnosing diseases like COVID-19 to assist the medical force, especially in times of an outbreak. In the proposed work, a deep learning model, i.e., truncated VGG16 (Visual Geometry Group from Oxford) is implemented to screen COVID-19 CT scans. The VGG16 …
引用总数
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