Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nishanth T, Arun"'
Autor:
Matthew D, Li, Nishanth T, Arun, Mehak, Aggarwal, Sharut, Gupta, Praveer, Singh, Brent P, Little, Dexter P, Mendoza, Gustavo C A, Corradi, Marcelo S, Takahashi, Suely F, Ferraciolli, Marc D, Succi, Min, Lang, Bernardo C, Bizzo, Ittai, Dayan, Felipe C, Kitamura, Jayashree, Kalpathy-Cramer
Publikováno v:
medRxiv
Purpose: To improve and test the generalizability of a deep learning-based model for assessment of COVID-19 lung disease severity on chest radiographs (CXRs) from different patient populations. Materials and Methods: A published convolutional Siamese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd695795f6e51faf97c58dd3986d6a12
https://doi.org/10.1097/md.0000000000029587
https://doi.org/10.1097/md.0000000000029587
Autor:
Singh, Rajeev Kumar1 (AUTHOR) rajeev.kumar@snu.edu.in, Pandey, Rohan1 (AUTHOR), Babu, Rishie Nandhan1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Jul2021, Vol. 33 Issue 14, p8871-8892. 22p.
Autor:
Li, Matthew D., Arun, Nishanth T., Aggarwal, Mehak, Gupta, Sharut, Singh, Praveer, Little, Brent P., Mendoza, Dexter P., Corradi, Gustavo C.A., Takahashi, Marcelo S., Ferraciolli, Suely F., Succi, Marc D., Lang, Min, Bizzo, Bernardo C., Dayan, Ittai, Kitamura, Felipe C., Kalpathy-Cramer, Jayashree
Publikováno v:
Medicine; 7/22/2022, Vol. 101 Issue 29, pe29587-e29587, 1p
Autor:
Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad, Mario Koeppen
This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus t
