Artificial Intelligence–assisted chest X-ray assessment scheme for COVID-19

OBJECTIVES: To study whether a trained convolutional neural network (CNN) can be of assistance to radiologists in differentiating Coronavirus disease (COVID)–positive from COVID-negative patients using chest X-ray (CXR) through an ambispective clinical study. To identify subgroups of patients where...

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Vydáno v:Eur Radiol
Hlavní autoři: Rangarajan, Krithika, Muku, Sumanyu, Garg, Amit Kumar, Gabra, Pavan, Shankar, Sujay Halkur, Nischal, Neeraj, Soni, Kapil Dev, Bhalla, Ashu Seith, Mohan, Anant, Tiwari, Pawan, Bhatnagar, Sushma, Bansal, Raghav, Kumar, Atin, Gamanagati, Shivanand, Aggarwal, Richa, Baitha, Upendra, Biswas, Ashutosh, Kumar, Arvind, Jorwal, Pankaj, Shalimar, Shariff, A., Wig, Naveet, Subramanium, Rajeshwari, Trikha, Anjan, Malhotra, Rajesh, Guleria, Randeep, Namboodiri, Vinay, Banerjee, Subhashis, Arora, Chetan
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer Berlin Heidelberg 2021
Témata:
Imaging Informatics and Artificial Intelligence
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7816060/
https://ncbi.nlm.nih.gov/pubmed/33471219
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07628-5
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