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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816060/
https://www.ncbi.nlm.nih.gov/pubmed/33471219
http://dx.doi.org/10.1007/s00330-020-07628-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816060/
https://www.ncbi.nlm.nih.gov/pubmed/33471219
http://dx.doi.org/10.1007/s00330-020-07628-5

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