Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening

Chest computed tomography (CT) based analysis and diagnosis of the Coronavirus Disease 2019 (COVID-19) plays a key role in combating the outbreak of the pandemic that has rapidly spread worldwide. To date, the disease has infected more than 18 million people with over 690k deaths reported. Reverse t...

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Detalles Bibliográficos
Autores principales: Chikontwe, Philip, Luna, Miguel, Kang, Myeongkyun, Hong, Kyung Soo, Ahn, June Hong, Park, Sang Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141701/
https://www.ncbi.nlm.nih.gov/pubmed/34102477
http://dx.doi.org/10.1016/j.media.2021.102105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141701/
https://www.ncbi.nlm.nih.gov/pubmed/34102477
http://dx.doi.org/10.1016/j.media.2021.102105

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