COVID-19 Infection Segmentation and Severity Assessment Using a Self-Supervised Learning Approach

Background: Automated segmentation of COVID-19 infection lesions and the assessment of the severity of the infections are critical in COVID-19 diagnosis and treatment. Based on a large amount of annotated data, deep learning approaches have been widely used in COVID-19 medical image analysis. Howeve...

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Detalles Bibliográficos
Autores principales: Song, Yao, Liu, Jun, Liu, Xinghua, Tang, Jinshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332359/
https://www.ncbi.nlm.nih.gov/pubmed/35892518
http://dx.doi.org/10.3390/diagnostics12081805

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332359/
https://www.ncbi.nlm.nih.gov/pubmed/35892518
http://dx.doi.org/10.3390/diagnostics12081805

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