AIMC Topic:
SARS-CoV-2
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Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms.
Journal of X-ray science and technology
Jan 1, 2020
OBJECTIVE: This study aims to employ the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for early detection of novel coronavirus (COVID-19) infected disease.
Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches.
Journal of X-ray science and technology
Jan 1, 2020
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) constitutes a public health emergency globally. The number of infected people and deaths are proliferating every day, which is putting tremendous pressure on our social and healthcare system. ...
The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members.
Work (Reading, Mass.)
Jan 1, 2020
BACKGROUND: The COVID-19 outbreak pandemic is a situation without a tested action plan. Rehabilitation team members have been called for duty with new responsibilities in addition to their conventional roles in the healthcare system. The infectious d...
Social networks, machine learning and cladistics in the time of COVID-19.
Cirugia y cirujanos
Jan 1, 2020
Artificial Intelligence and the Future of Psychiatry.
IEEE pulse
Jan 1, 2020
An estimated 792 million people live with mental health disorders worldwide-more than one in ten people-and this number is expected to grow in the shadow of the Coronavirus disease 2019 (COVID-19) pandemic. Unfortunately, there aren't enough mental h...
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