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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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2021
Assuntos:
Imaging Informatics and Artificial Intelligence
Acesso em linha: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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